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ORCIDIJCNN 2007: Orlando, Florida, USA
- Proceedings of the International Joint Conference on Neural Networks, IJCNN 2007, Celebrating 20 years of neural networks, Orlando, Florida, USA, August 12-17, 2007. IEEE 2007, ISBN 978-1-4244-1379-9
- Issam Dagher, Kamal El Tom:
WaterBalloons: A Hybrid Watershed Balloon Snake Segmentation. 1-6 - Richard Neville, Liping Zhao
:
Building a Family of Neural Networks using Symmetry as a Foundation. 7-12 - Ishmael S. Msiza, Fulufhelo V. Nelwamondo, Tshilidzi Marwala:
Water Demand Forecasting Using Multi-layer Perceptron and Radial Basis Functions. 13-18 - Shakir Mohamed, David M. Rubin, Tshilidzi Marwala:
Incremental Learning for Classification of Protein Sequences. 19-24 - Olutayo O. Oladunni, Theodore B. Trafalis:
Regularization Based Classification Models. 25-30 - Gualtiero Piccinini:
Connectionist Computation. 31-36 - Shenshen Gu, Jun Wang:
A K-Winners-Take-All Neural Network Based on Linear Programming Formulation. 37-40 - Ju Jiang, Mohamed S. Kamel:
Pitch Control of an Aircraft with Aggregated Reinforcement Learning Algorithms. 41-46 - Ramakrishnan Sundaram:
Neural computing for data recovery. 47-52 - Ankur Gupta, Lyle N. Long:
Character Recognition using Spiking Neural Networks. 53-58 - Gerardo Noriega:
Propagation Delays in the Development of SOMs and Abnormal Brain Growth in Autism. 59-65 - B. Chandra, P. Paul Varghese:
On Improving Efficiency of SLIQ Decision Tree Algorithm. 66-71 - Zhanquan Sun, Guangcheng Xi, Haixia Li, Jianqiang Yi, Jie Wang:
Apply Feature Selection to the Integration of TCM and Western Medicine. 72-77 - Fen Xia, Qing Tao, Jue Wang, Wensheng Zhang:
Recursive Feature Extraction for Ordinal Regression. 78-83 - Qingshan Liu, Jun Wang:
A One-layer Recurrent Neural Network with a Unipolar Hard-limiting Activation Function for k-Winners-Take-All Operation. 84-89 - Hsiao-Dong Chiang, Chandan K. Reddy:
TRUST-TECH Based Neural Network Training. 90-95 - Naoki Masuda, Hiroshi Kori:
STDP enhances frequency synchrony in neural networks with a pacemaker. 96-101 - Daniel Chillet, Sébastien Pillement, Olivier Sentieys:
A Neural Network Model for Real-Time Scheduling on Heterogeneous SoC Architectures. 102-107 - Tomas Hrycej, Matthias Grabert:
Warranty Cost Forecast Based on Car Failure Data. 108-113 - Weibao Zou, Yan Li:
Image Classification Using Wavelet Coefficients in Low-pass Bands. 114-118 - Kunihiko Fukushima:
Robust Pattern Recognition by Interpolating Vectors. 119-124 - Zikrija Avdagic, Senad Cernica, Samim Konjicija:
Reducing Vibration of the Seat with Semi-active Damper by Using the Artificial Neural Networks. 125-130 - Nikola K. Kasabov, Vishal Jain, Paulo C. M. Gottgtroy, Lubica Benuskova, Simei Gomes Wysoski, Frances Joseph:
Evolving Brain-Gene Ontology System (EBGOS): Towards Integrating Bioinformatics and Neuroinformatics Data to Facilitate Discoveries. 131-135 - Truong Quang D. Khoa, Masahiro Nakagawa:
Training Multilayer Neural Network by Global Chaos Optimization Algorithms. 136-141 - Velu Suresh Kumar, P. Subbiah Kannan, Kandasamy Kalaiselvi, Kavitha D.:
Optimal Estimation of Harmonics in Power System using Intelligent Computing Techniques. 142-147 - Chun-Fei Hsu, Tsu-Tian Lee, Ping-Zong Lin:
Intelligent Tracking Controller Design Using Dynamic Fuzzy Neural Networks. 148-153 - Feng Zhang:
Learning Long-Term Time Series with Generative Topographic Mapping. 154-159 - Julio J. Valdés, Enrique Romero, Ruben Gonzalez:
Data and Knowledge Visualization with Virtual Reality Spaces, Neural Networks and Rough Sets: Application to Geophysical Prospecting. 160-165 - Shuichi Kurogi, Ryohei Koyama, Shinya Tanaka, Toshihisa Sanuki:
Forecasting Using First-Order Difference of Time Series and Bagging of Competitive Associative Nets. 166-171 - Ralf Eickhoff, Joaquin Sitte:
Significance measure of Local Cluster Neural Networks. 172-177 - Yuuji Ichisugi:
A Cerebral Cortex Model that Self-Organizes Conditional Probability Tables and Executes Belief Propagation. 178-183 - Han-Bing Qu, Bao-Gang Hu:
Variational Bayes Inference for Generalized Associative Functional Networks. 184-189 - Giovanni Raimondo, Alfonso Montuori, Walter Moniaci, Eros Pasero, Esben Almkvist:
Data-driven models to forecast PM10 concentration. 190-194 - Pedro Delicado, Marcelo Smrekar:
Mixture of nonlinear models: a Bayesian fit for Principal Curves. 195-200 - Chi Kin Chow, Shiu Yin Yuen:
Lighting Direction Estimation of a Shaded Image by a Surface-input Regression Network. 201-206 - Chi Kin Chow, Shiu Yin Yuen:
Bayesian Signal Classifier. 207-212 - Chi Kin Chow, Shiu Yin Yuen:
Signal Self Organizing Map. 213-218 - Ruichu Cai, Zhifeng Hao, Wen Wen:
A Novel Gene Ranking Algorithm Based on Random Subspace Method. 219-223 - Francisco de A. T. de Carvalho, Julio T. Pimentel, Lucas X. T. Bezerra:
Clustering of symbolic interval data based on a single adaptive L1 distance. 224-229 - Mario I. Chacon, Waldo J. Perez-Regalado:
A Combined Fuzzy Clustering -Neuron Approach in the Segmentation of Non-uniform Color Surfaces. 230-235 - Al Cripps, Nghiep Nguyen:
Fuzzy Lattice Neurocomputing Using Weighted Cosine Similarity Measure. 236-241 - Tianping Chen, Yanchun Bai:
Stability of Cohen-Grossberg Neural Networks with Nonnegative Periodic solutions. 242-247 - Sharon M. Chou, Andrew P. Paplinski, Lennart Gustafsson:
Speaker-dependent Bimodal Integration of Chinese Phonemes and Letters Using Multimodal Self-organizing Networks. 248-253 - Zhongyu Pang, Derong Liu, Ning Jin, Zhuo Wang:
Neural Network Strategy for Sampling of Particle Filters on the Tracking Problem. 254-259 - Jagdish Chandra Patra, Goh P. Lim, Pramod Kumar Meher, Ee Luang Ang:
DNA Microarray Data Analysis: Effective Feature Selection for Accurate Cancer Classification. 260-265 - Florian Hoppe, Gerald Sommer:
Online Learning for Hierarchical Networks of Locally Arranged Models using a Support Vector Domain Model. 266-271 - Hasan U. Ozer, Ramakrishnan Sundaram:
Object Recognition with Generic Self Organizing Feature Extractors and Fast Gabor Wavelet Transform. 272-277 - Amjad Zaim, Taeil Yi, Rick Keck:
Feature-Based Classification of Prostate Ultrasound Images using Multiwavelet and Kernel Support Vector Machines. 278-281 - Derrick Takeshi Mirikitani, Nikolay I. Nikolaev:
Recursive Bayesian Levenberg-Marquardt Training of Recurrent Neural Networks. 282-287 - Michal Kruk, Stanislaw Osowski, Robert Koktysz:
Recognition of Colon Cells Using Ensemble of Classifiers. 288-293 - Kurt Stadlthanner, Dominik Lutter, Fabian J. Theis, Elmar Wolfgang Lang, Ana Maria Tomé, Petia Georgieva, Carlos García Puntonet:
Sparse Nonnegative Matrix Factorization with Genetic Algorithms for Microarray Analysis. 294-299 - Chao Shao, Houkuan Huang, Chunhong Wan:
Selection of the Suitable Neighborhood Size for the ISOMAP Algorithm. 300-305 - Jorge V. Geaga:
Tagging and Tracking in Video Using Neural Net Color Detection and Spatial Filters. 306-310 - Jérica Urías, Denisse Hidalgo, Patricia Melin, Oscar Castillo:
A New Method for Response Integration in Modular Neural Networks using Type-2 Fuzzy Logic for Biometric Systems. 311-315 - Pei-Gee Peter Ho, Chi Hau Chen:
2-D Time Series Model Based Support Vector Machine for Remote Sensing Image Segmentation. 316-320 - Daniel T. H. Lai, Ahsan H. Khandoker, Rezaul K. Begg, Marimuthu Palaniswami:
A hybrid Support Vector Machine and autoregressive model for detecting gait disorders in the elderly. 321-326 - Ikuko Nishikawa, Kohei Hayashi, Kazutoshi Sakakibara:
Complex-valued Neuron to describe the Dynamics after Hopf Bifurcation: an Example of CPG Model for a Biped Locomotion. 327-332 - Wei Fu, Xiaodong Gu, Yuanyuan Wang:
Anti-aircraft Missile Deployment Optimization Using Hopfield Neural Network. 333-337 - Steffen Grünewälder, Sepp Hochreiter, Klaus Obermayer:
Optimality of LSTD and its Relation to MC. 338-343 - Xiaofeng Lin, Zhigang Zhang, Derong Liu:
Temperature Control in Precalcinator with Dual Heuristic Dynamic Programming. 344-349 - Guoguang He, Manish Dev Shrimali, Kazuyuki Aihara:
Chaos control in a neural network with threshold activated coupling. 350-354 - Shihai Wang, Ke Chen:
Ensemble Learning with Active Data Selection for Semi-Supervised Pattern Classification. 355-360 - Xiefeng Cheng, Yan Zheng, Yewei Tao, Zhengyu Chen, Yuehui Chen:
Independent Sub-Band Functions: Model and Applications. 361-365 - José García Rodríguez, Francisco Flórez Revuelta, Juan Manuel García Chamizo:
Image Compression Using Growing Neural Gas. 366-370 - Asma Al-Tamimi, Draguna L. Vrabie, Murad Abu-Khalaf, Frank L. Lewis:
Model-free Approximate Dynamic Programming Schemes for Linear Systems. 371-378 - Assem Kaylani, Ahmad A. Al-Daraiseh, Michael Georgiopoulos, Mansooreh Mollaghasemi, Georgios C. Anagnostopoulos, Annie S. Wu:
Genetic Optimization of ART Neural Network Architectures. 379-384 - Mark H. Myers, Igor Beliaev, King-Ip Lin:
Machine Learning Techniques in Detecting of Pulmonary Embolisms. 385-390 - Vladimir M. Krasnopolsky, Michael S. Fox-Rabinovitz, Alexei A. Belochitski:
Compound Parameterization for a Quality Control of Outliers and Larger Errors in Neural Network Emulations of Model Physics. 391-395 - Peter Shih, Brian C. Kaul, Sarangapani Jagannathan, James A. Drallmeier:
Near Optimal Output-Feedback Control of Nonlinear Discrete-time Systems in Nonstrict Feedback Form with Application to Engines. 396-401 - Zhong-Hua Quan, De-Shuang Huang, KunHong Liu, Kwok-Wing Chau:
A Hybrid HMM/ANN Based Approach for Online Signature Verification. 402-405 - Yi Lu Murphey, Haoxing Wang, Guobin Ou, Lee A. Feldkamp:
OAHO: an Effective Algorithm for Multi-Class Learning from Imbalanced Data. 406-411 - Vishwas R. Puttige, Sreenatha G. Anavatti:
Comparison of Real-time Online and Offline Neural Network Models for a UAV. 412-417 - Zenglin Xu, Jianke Zhu, Michael R. Lyu, Irwin King:
Maximum Margin based Semi-supervised Spectral Kernel Learning. 418-423 - Nadir Nizar Ali Charniya, Sanjay V. Dudul:
Neural Network based Sensor for Classification of Material Type and its Surface Properties. 424-429 - Geoffrey R. Guile, Wenjia Wang:
Enhancing Boosting by Feature Non-Replacement for Microarray Data Analysis. 430-435 - Ignacio Barrio, Enrique Romero, Lluís Belanche:
Search Strategies Guided by the Evidence for the Selection of Basis Functions in Regression. 436-441 - Ross W. Deming, John Schindler, Leonid I. Perlovsky:
Neural Modeling Fields for Multitarget/Multisensor Tracking. 442-447 - Márjory C. C. Abreu, Anne M. P. Canuto:
Evaluating the Influence of the Choice of the Ensemble Members in Some Fuzzy Combination Methods. 448-453 - Silvia Riedel, Bogdan Gabrys:
Dynamic Pooling for the Combination of Forecasts generated using Multi Level Learning. 454-459 - Leonid I. Perlovsky:
Neural Modeling Fields, Evolution of Consciousness and Cultures. 460-465 - Leonid I. Perlovsky:
Neural Modeling Fields for Natural Language. 466-470 - Yu-Chiang Frank Wang, David P. Casasent:
New Weighted Support Vector K-means Clustering for Hierarchical Multi-class Classification. 471-476 - Kai-Ju Chen, Kou-Yuan Huang:
Simulated Annealing for Pattern Detection and Seismic Application. 477-482 - Narayan Srinivasa, Stephen Grossberg:
A Self-Organizing Neural Model for Fault-Tolerant Control of Redundant Robots. 483-488 - Georgina Stegmayer:
Neural Networks and Volterra series for modeling new wireless communication devices. 489-494 - Lichen Liang, Vladimir Cherkassky:
Learning Using Structured Data: Application to fMRI Data Analysis. 495-499 - Ning Jin, Derong Liu, Zhongyu Pang, Ting Huang:
Wavelet Basis Function Neural Networks. 500-505 - Salvatore Marra, Maria Antonia Iachino, Francesco Carlo Morabito:
High Speed, Programmable Implementation of a Tanh-like Activation Function and Its Derivative for Digital Neural Networks. 506-511 - Nicolas Brodu:
Quantifying the Effect of Learning on Recurrent Spikin Neurons. 512-517 - Ting Yu, Tony Jan, Simeon J. Simoff, John K. Debenham:
A Hierarchical VQSVM for Imbalanced Data Sets. 518-523 - Feng Zhou, Bao-Liang Lu:
Learning Concepts from Large-Scale Data Sets by Pairwise Coupling with Probabilistic Outputs. 524-529 - Jiann-Ming Wu, Yi-Cyun Yang:
Nonlinear independent component analysis by learning generalized adalines. 530-535 - Julian Szymanski, Wlodzislaw Duch:
Semantic Memory Knowledge Acquisition Through Active Dialogues. 536-541 - Kazuo Nishimura:
A New Semantic Network Program Based on Combination of Case Knowledge and General Knowledge. 542-545 - Yasuo Matsuyama, Fuminori Ohashi, Fumiaki Horiike, Tomohiro Nakamura, Shun'ichi Honma, Naoto Katsumata, Yuuki Hoshino:
Image-to-Image Retrieval Using Computationally Learned Bases and Color Information. 546-551 - Raymond Chun Kiat Ho, Alex Leng Phuan Tay, Xuejie Zhang:
Progressive Learning Paradigms using the Parallel K-Iterations Fast Learning Artificial Neural Network. 552-557 - Behrooz Makki, Seyed Ali Seyed Salehi, Mona Noori Hosseini, Nasser Sadati:
Principal Component Analysis using Constructive Neural Networks. 558-562 - Xuejie Zhang, Alex Leng Phuan Tay:
Fast Learning Artificial Neural Network (FLANN) Based Color Image Segmentation in R-G-B-S-V Cluster Space. 563-568 - Rong-Jong Wai, Jeng-Dao Lee:
Dynamic Control of Maglev Transportation System Via Adaptive Fuzzy-Neural-Network. 569-574 - Masashi Sekino, Katsumi Nitta:
Unbiased Learning for Hierarchical Models. 575-580 - Qingyong Li, Zhiping Shi, Siwei Luo:
A Neural Network Approach for Bridging the Semantic Gap in Texture Image Retrieval. 581-585 - Franck Dufrenois, Johan Colliez, Denis Hamad:
Weighted Support Vector Regression for robust single model estimation : application to motion segmentation in image sequences. 586-591 - Hyun-Chul Kim, Kyu-Hwan Jung, Jaewook Lee:
Approximate Sampling Method for Locally Linear Embedding. 592-595 - Long Cheng, Zeng-Guang Hou, Min Tan, Xiuqing Wang, Zeng-Shun Zhao, Sanqing Hu:
A Recurrent Neural Network for Non-smooth Nonlinear Programming Problems. 596-601 - Manabu Gouko, Koji Ito:
An Action Generation Model Using Time Series Prediction. 602-607 - Javid J. Huseynov, Shankar B. Baliga, Alan Widmer, Zvi Boger:
Infrared Flame Detection System Using Multiple Neural Networks. 608-612 - Jose Ignacio Serrano, Ángel Iglesias, M. Dolores del Castillo:
Modeling Human Reading in Conceptual Networks for Text Representation and Comparison. 613-618 - Akihito Sudo, Akihiro Sato, Osamu Hasegawa:
Associative Memory for Online Incremental Learning in Noisy Environments. 619-624 - Hina Ghalib, Christian R. Huyck:
A Cell Assembly Model of Sequential Memory. 625-630 - Mustapha Lebbah, Nicoleta Rogovschi, Younès Bennani:
BeSOM : Bernoulli on Self-Organizing Map. 631-636 - Koen Smets, Brigitte Verdonk, Elsa M. Jordaan:
Evaluation of Performance Measures for SVR Hyperparameter Selection. 637-642 - Laura Emmanuella A. Santana, Diogo F. de Oliveira, Anne M. P. Canuto, Marcílio Carlos Pereira de Souto:
A Comparative Analysis of Feature Selection Methods for Ensembles with Different Combination Methods. 643-648 - Luis E. Zárate, Sérgio M. Dias, Mark A. J. Song:
FCANN Method Applications for Knowledge Extraction From Previously Trained ANN. 649-654 - Luis E. Zárate, Fabricio R. Bittencout:
Neural Networks Applied to Adjustment and Combination of the Control Actions for the Cold Rolling Process. 655-660 - Ulf Johansson, Tuve Löfström, Lars Niklasson:
The Importance of Diversity in Neural Network Ensembles - An Empirical Investigation. 661-666 - Li Shi, Hui Li, Zhifu Sun, Wei Liu:
Research on Diagnosing Heart Disease Using Adaptive Network-based Fuzzy Interferences System. 667-671 - Joaquín Torres-Sospedra, Carlos Hernández-Espinosa, Mercedes Fernández-Redondo:
Mixing Aveboost and Conserboost to Improve Boosting Methods. 672-677 - Hugo Jair Escalante, Manuel Montes-y-Gómez, Luis Enrique Sucar:
PSMS for Neural Networks on the IJCNN 2007 Agnostic vs Prior Knowledge Challenge. 678-683 - Joaquín Torres-Sospedra, Carlos Hernández-Espinosa, Mercedes Fernández-Redondo:
Designing a Multilayer Feedforward Ensemble with the Weighted Conservative Boosting Algorithm. 684-689 - Haikun Wei, Shun-ichi Amari:
Eigenvalue Analysis on Singularity in RBF networks. 690-695 - Yuehui Chen, Feng Chen, Qiang Wu:
An Artificial Neural Networks Based Dynamic Decision Model for Time-Series Forecasting. 696-699 - Yutaka Maeda, Yoshinori Fukuda:
FPGA Implementation of Pulse Density Hopfield Neural Network. 700-704 - Xiaobin Lin, Philippe De Wilde:
Odor Recognition with Synchronization using Integrate and Fire Neurons. 705-710 - Wen Liu, Lipo Wang:
Variable Thresholds in the Chaotic Cellular Neural Network. 711-714 - Thomas Dowrick, Steve Hall, Liam McDaid, Octavian Buiu, Peter M. Kelly:
A Biologically Plausible Neuron Circuit. 715-719 - Fredric M. Ham, Ranjan Acharyya, Young-Chan Lee, Milton Garces, David Fee, Chelsea Whitten, Eric Rivera:
Classification of Infrasound Surf Events Using Parallel Neural Network Banks. 720-725 - Jun Won Lee, Christophe G. Giraud-Carrier:
Transfer Learning in Decision Trees. 726-731 - A. G. Malliaris, Mary Malliaris:
Modeling Short Term Interest Rates: A Comparison of Methodologies. 732-736 - Suzana M. de Souza, Alexandre P. Alves da Silva, Antonio C. S. Lima:
Voltage and Current Patterns for Fault Location in Transmission Lines. 737-742 - José Castro, Michael Georgiopoulos, Jimmy Secretan:
Analyzing the Fuzzy ARTMAP Matchtracking mechanism with Co-Objective Optimization Theory. 743-748 - Ling Li, Hsuan-Tien Lin:
Optimizing 0/1 Loss for Perceptrons by Random Coordinate Descent. 749-754 - Filip Pigkniewski:
Emergence of Scale-free Graphs in Dynamical Spiking Neural Networks. 755-759 - Edward L. Boone, Karl Ricanek Jr., Susan J. Simmons:
Quantitative Trait Loci Analysis Using a Bayesian Framework. 760-764 - Raihan H. Kibria:
Evolving a Neural Net-Based Decision and Search Heuristic for DPLL SAT Solvers. 765-770 - Iris Fabiana de Barcelos Tronto, José Demísio Simões da Silva, Nilson Sant'Anna:
Comparison of Artificial Neural Network and Regression Models in Software Effort Estimation. 771-776 - Gregory P. Amis, Gail A. Carpenter:
Default ARTMAP 2. 777-782 - Abel Nyamapfene, Khurshid Ahmad:
A Multimodal Model of Child Language Acquisition at the One-Word Stage. 783-788 - Mario I. Chacon, Juan I. Nevarez, Jose Rivera:
Recognition of Natural and Non-Natural Defects Presented in Ophthalmic Lenses. 789-794 - Maizura Mokhtar, David M. Halliday, Andy M. Tyrrell:
Hippocampus Neurons and Place Cells/Place Field Representation to Provide Path Navigation. 795-800 - Eufrasio de Andrade Lima Neto, Francisco de A. T. de Carvalho, Jose F. Coelho Neto:
Inequality Constraints in Regression Models to Symbolic Interval Variables. 801-806 - Frederick W. Chen, William J. Blackwell:
Atmospheric Thermodynamic Profiling with Neural Networks. 807-812 - Maizura Mokhtar, David M. Halliday, Andy M. Tyrrell:
Autonomous Navigational Controller Inspired by the Hippocampus. 813-818 - Hugo Hidalgo, Enrique Gómez-Treviño:
Geoelectric modeling with Kernel methods. 819-822 - Floriberto Ortiz Rodriguez, Wen Yu, Marco A. Moreno-Armendáriz:
Nonlinear systems identification via two types of recurrent fuzzy CMAC. 823-828 - Isabelle Guyon, Amir Saffari, Gideon Dror, Gavin C. Cawley:
Agnostic Learning vs. Prior Knowledge Challenge. 829-834 - Michael E. Farmer:
Chaotic Phenomena from Motion in Image Sequences. 835-840 - Bing Lu, Walter M. Yamada, Theodore W. Berger:
Asymmetric Synaptic Plasticity Based on Arbitrary Pre- and Postsynaptic Timing Spikes Using Finite State Model. 841-846 - Maryam Arvandi, Alireza Sadeghian:
Chosen Plaintext Attack against Neural Network-Based Symmetric Cipher. 847-851 - Ryan J. Meuth, Donald C. Wunsch II:
Approximate Dynamic Programming and Neural Networks on Game Hardware. 852-856 - Takashi Onoda, Norihiko Ito, Hironobu Yamasaki:
One-Class SVM based Unusual Condition Monitoring for Risk Management of Hydroelectric Power Plants. 857-862 - Jon T. S. Quah, M. Sriganesh:
Real Time Credit Card Fraud Detection using Computational Intelligence. 863-868 - Hyunsoo Choi, Chulhee Lee:
Neural Network Deinterlacing Using Multiple Fields and Field-MSEs. 869-872 - Peipeng Liang, Ning Zhong, Jing-Long Wu, Shengfu Lu, Jiming Liu, Yiyu Yao:
Time Dissociative Characteristics of Numerical Inductive Reasoning: Behavioral and ERP Evidence. 873-879 - Masahiro Wakame, Yuko Osana:
Chaotic Neural Network with Time Delay Term. 880-885 - Christopher Sentelle, Michael Georgiopoulos, Georgios C. Anagnostopoulos, Cynthia Young:
On Extending the SMO Algorithm Sub-Problem. 886-891 - Luis Eduardo Moran Lopez, R. Paul Elias, Jonathan Villanueva Tavira:
Face Localization In Color Images Using Dynamic Time Warping And Integral Projections. 892-896 - Gessyca Maria Tovar, Eric Shun Fukuda, Tetsuya Asai, Tetsuya Hirose, Yoshihito Amemiya:
Neuromorphic CMOS Circuits implementing a Novel Neural Segmentation Model based on Symmetric STDP Learning. 897-901 - Kaname Iwasa, Mauricio Kugler, Susumu Kuroyanagi, Akira Iwata:
A Sound Localization and Recognition System using Pulsed Neural Networks on FPGA. 902-907 - Chao Lu, Jennie Si, Xiaorong Xie, Jie Song:
Convergence of Direct Heuristic Dynamic Programming in Power System Stability Control. 908-913 - Sang-Il Choi, Chong-Ho Choi:
An Effective Face Recognition under Illumination and Pose Variations. 914-919 - Alistair Shilton, Daniel T. H. Lai:
Quaternionic and complex-valued Support Vector Regression for Equalization and Function Approximation. 920-925 - Rohit Dua:
Damped Vibration Analysis of Extrinsic Fabry-Perot Interferometric Sensors using Artificial Neural Networks. 926-931 - Shuhei Kimura, Katsuki Sonoda, Soichiro Yamane, Kotaro Yoshida, Koki Matsumura, Mariko Hatakeyama:
Inference of Genetic Networks using a Reduced NGnet Model. 932-937 - Peng Chen, Bing Wang, Hau-San Wong, De-Shuang Huang:
Prediction of Long-range Contacts from Sequence Profile. 938-943 - Colin Molter, Yoko Yamaguchi:
Organization of hippocampal place cells by enthorinal cortex grid cells. A functional role for the phase precession mechanism. 944-949 - Kazuki Nakada, Keiji Miura, Hatsuo Hayashi:
Theoretical Analysis of Synchronization Phenomena in Two Pulse-Coupled Resonate-and-Fire Neurons. 950-955 - Jon T. S. Quah, W. D. Ng:
Utilizing Computational Intelligence for DJIA Stock Selection. 956-961 - Yuancan Huang, Chuang Yu:
Improved Lagrange Nonlinear Programming Neural Networks for Inequality Constraints. 962-966 - Le Song, Yuchi Lin:
Study on the Vision Reading Algorithm based on Template Matching and Neural Network. 967-972 - Bryan W. Lin, Ou Ma:
Modeling and Analysis of Human Binocular Perception of Position and Velocity in the Visual Cortex. 973-978 - Seung-Mook Baek, Jung-Wook Park, Ganesh K. Venayagamoorthy:
Parameter Optimization of PSS Based on Estimated Hessian Matrix from Trajectory Sensitivities. 979-984 - Richard L. Welch, Ganesh K. Venayagamoorthy:
Optimal Control of a Photovoltaic Solar Energy System with Adaptive Critics. 985-990 - Guo-Zhu Wen, Xiao-Yong Guo, De-Shuang Huang, KunHong Liu:
Application of Self-Organizing Map in Aerosol Single Particles Data Clustering. 991-996 - Etsumasa Hiura, Toshijiro Tanaka:
A Chaotic Neural Network with Duffing's Equation. 997-1001 - Mohammad Atique, Sadique S. Ali:
A Novel Adaptive Neuro Fuzzy Inference System Based CPU Scheduler for Multimedia Operating System. 1002-1007 - Cesare Alippi, Manuel Roveri:
Adaptive Classifiers in Stationary Conditions. 1008-1013 - Cesare Alippi, Manuel Roveri:
Just-in-time Adaptive Classifiers in Non-Stationary Conditions. 1014-1019 - Sudhir Rao, Seungju Han, José Carlos Príncipe:
Information Theoretic Vector Quantization with Fixed Point Updates. 1020-1024 - Hujun Yin:
Connection between Self-Organizing Maps and Metric Multidimensional Scaling. 1025-1030 - Jaakko J. Väyrynen, Lasse Lindqvist, Timo Honkela:
Sparse Distributed Representations for Words with Thresholded Independent Component Analysis. 1031-1036 - Kenji Tanaka, Takio Kurita, Tohru Kawabe:
Selection of Import Vectors via Binary Particle Swarm Optimization and Cross-Validation for Kernel Logistic Regression. 1037-1042 - Terje Kristensen, Jostein Borthen, Kristian Fyllingsnes:
Comparison of neural network based fingerprint classification techniques. 1043-1048 - Hiroomi Hikawa, Shigeki Matsubara:
Pseudo RBF Network for Position Independent Hand Posture Recognition System. 1049-1054 - Sohrab Saeb, Aydin Farajidavar, Shahriar Gharibzadeh:
A Model of Wind-up based on Short-term and Long-term Synaptic Plasticity Mechanisms. 1055-1060 - Youki Kamiya, Toshiaki Ishii, Shen Furao, Osamu Hasegawa:
An Online Semi-Supervised Clustering Algorithm Based on a Self-organizing Incremental Neural Network. 1061-1066 - Jia Tang, Xiaoqin Zeng, Lei Lu:
Ensemble Learning Based on the Output Sensitivity of Multilayer Perceptrons. 1067-1072 - Yang Liu, Soon-Thiam Khu:
Automatic Calibration of Numerical Models using Fast Optimisation by Fitness Approximation. 1073-1078 - Masayuki Murakami, Nakaji Honda:
Fault Tolerance Comparison of IDS Models with Multilayer Perceptron and Radial Basis Function Networks. 1079-1084 - Hiroyuki Mori, Daisuke Kanaoka:
Application of Support Vector Regression to Temperature Forecasting for Short-term Load Forecasting. 1085-1090 - Hiroomi Hikawa, Taku Miyanishi, Kousuke Tamaya:
Performance Comparison of SOM Based Hybrid Hardware Classifiers. 1091-1096 - Benjamin Schrauwen, Michiel D'Haene, David Verstraeten, Jan M. Van Campenhout:
Compact hardware for real-time speech recognition using a Liquid State Machine. 1097-1102 - Shiro Usui, Antoine Naud, Naonori Ueda, Tatsuki Taniguchi:
3D-SE Viewer: A Text Mining Tool based on Bipartite Graph Visualization. 1103-1108 - Matti Pöllä, Timo Honkela:
Probabilistic Text Change Detection Using an Immune Model. 1109-1114 - Yuta Ishikawa, Ryohei Nakano:
Obtaining EM Initial Points by Using the Primitive Initial Point and Subsampling Strategy. 1115-1120 - Mohammad Mahdi Rezaei Yousefi, Masoud Mirmomeni, Caro Lucas:
Input Variables Selection Using Mutual Information for Neuro Fuzzy Modeling with the Application to Time Series Forecasting. 1121-1126 - Pohsiang Tsai, Tony Jan, Tom Hintz:
Kernel-based Subspace Analysis for Face Recognition. 1127-1132 - Peyman Adibi, Reza Safabakhsh:
Joint Entropy Maximization in the Kernel-Based Linear Manifold Topographic Map. 1133-1138 - Shen Furao, Keisuke Sakurai, Youki Kamiya, Osamu Hasegawa:
An Online Semi-supervised Active Learning Algorithm with Self-organiing Incremental Neural Network. 1139-1144 - Shen Furao, Osamu Hasegawa:
A Nearest-Neighbour Method with Self-organizing Incremental Neural Network. 1145-1150 - Johane Takeuchi, Osamu Shouno, Hiroshi Tsujino:
Modular Neural Networks for Reinforcement Learning with Temporal Intrinsic Rewards. 1151-1156 - Pavel V. Skribtsov, Pavel A. Kazantsev, Svetlana V. Korobkova, Dmitry V. Pantiukhin, Ilia M. Voronkov, Alexander I. Galushkin, Georgiy P. Ostapenko, Artem M. Lodyagin:
"Neuromathematics" - Open platform to accelerate complex applied math problems solutions using neural network algorithms. 1157-1161 - Dhanaraj Nelson Jeyakumar, Paramasivam Venkatesh, Kwang Y. Lee:
Application of Multi Objective Evolutionary Programming to Combined Economic Emission Dispatch Problem. 1162-1167 - Nimish Shah, Simon O'Keefe, Jim Austin:
The Improved Correlation Matrix Memory (CMML). 1168-1173 - Lin-Yu Tseng, Wen-Ching Chen:
The Systematic Trajectory Search Algorithm for Feedforward Neural Network Training. 1174-1179 - José Fernando Fontanari, Leonid I. Perlovsky:
Language acquisition and category discrimination in the Modeling Field Theory framework. 1180-1185 - Masayuki Karasuyama, Ryohei Nakano:
Optimizing SVR Hyperparameters via Fast Cross-Validation using AOSVR. 1186-1191 - Walter J. Freeman:
Cortical aperiodic shutter enabling phase transitions at theta rates. 1192-1197 - Libo Ma, Liqing Zhang:
A Hierarchical Generative Model for Overcomplete Topographic Representations in Natural Images. 1198-1203 - Dymitr Ruta, Bogdan Gabrys:
Neural Network Ensembles for Time Series Prediction. 1204-1209 - Hirokazu Madokoro, Kazuhito Sato, Masaki Ishii:
Orientation Selectivity for Representation of Facial Expression Changes. 1210-1215 - Kazuhito Sato, Sakura Kadowaki, Hirokazu Madokoro, Masaki Ishii, Atsushi Inugami:
Objective Segmentation Based on Characteristics of Single Channel MR Images. 1216-1221 - Wei Wu, Dong Nan, Zhengxue Li, Jinling Long:
Approximation to a Compact Set of Functions by Feedforward Neural Networks. 1222-1225 - Otto Lappi:
Computational Templates, Neural Network Dynamics, and Symbolic Logic. 1226-1230 - Tarja Knuuttila, Anna-Mari Rusanen, Timo Honkela:
Self-Organizing Maps as Traveling Computational Templates. 1231-1236 - Wenyan Wu, Liming Zhang:
A New Method of Solving Permutation Problem in Blind Source Separation for Convolutive Acoustic Signals in Frequency-domain. 1237-1242 - Francisco Chagas de Lima, Jorge Dantas de Melo, Adrião Duarte Dória Neto:
Using Q-learning Algorithm for Initialization of the GRASP Metaheuristic and Genetic Algorithm. 1243-1248 - Sheetal Reddy Pamudurthy, S. Chandrakala, C. Chandra Sekhar:
Local Density Estimation based Clustering. 1249-1254 - Michail Maniadakis, Manolis Hourdakis, Panos E. Trahanias:
Modeling Overlapping Execution/Observation Brain Pathways. 1255-1260 - Mostafa M. Hassan, Amir F. Atiya, Neamat El Gayar, Raafat El-Fouly:
Regression in the Presence Missing Data Using Ensemble Methods. 1261-1265 - Diogo F. de Oliveira, Anne M. P. Canuto, Marcílio Carlos Pereira de Souto:
Investigating the Use of an Evolutionary Agent-based System for Classification Tasks. 1266-1271 - Haibo He, Xiaoping Shen:
Bootstrap Methods for Foreign Currency Exchange Rates Prediction. 1272-1277 - Randy P. Broussard, Lauren R. Kennell, David L. Soldan, Robert W. Ives:
Using Artificial Neural Networks and Feature Saliency Techniques for Improved Iris Segmentation. 1283-1288 - Franck Dufrenois, Denis Hamad:
Fuzzy weighted support vector regression for multiple linear model estimation : application to object tracking in image sequences. 1289-1294 - Chenlei Guo, Liming Zhang:
An Attention Selection Model with Visual Memory and Online Learning. 1295-1301 - Eiji Mizutani, Stuart Dreyfus:
On practical use of stagewise second-order backpropagation for multi-stage neural-network learning. 1302-1307 - Hiroshi Fukuda, Naoya Kakutani, Naohiro Fukumura, Yoji Uno:
A Neural Network Model for Planning Force and Posture in Three-digit Object Holding. 1308-1313 - Davide Bacciu, Antonina Starita:
A Robust Bio-Inspired Clustering Algorithm for the Automatic Determination of Unknown Cluster Number. 1314-1319 - Zhirong Yang, Jorma Laaksonen:
Approximated Geodesic Updates with Principal Natural Gradients. 1320-1325 - Bryan D. Thompson, Mahmood R. Azimi-Sadjadi:
An Iterative Learning Algorithm for Multi-Channel Coherence Analysis. 1326-1331 - Jayawan H. B. Wijekoon, Piotr Dudek:
Spiking and Bursting Firing Patterns of a Compact VLSI Cortical Neuron Circuit. 1332-1337 - Seema Narain, Ashu Jain:
Artificial neuron models for hydrological modeling. 1338-1342 - Georgia D. Tourassi, Jonathan L. Jesneck, Maciej A. Mazurowski, Piotr A. Habas:
Stacked Generalization in Computer-Assisted Decision Systems: Empirical Comparison of Data Handling Schemes. 1343-1347 - Dominic I. Standage, Thomas Trappenberg:
The Trouble with Weight-Dependent STDP. 1348-1353 - Pei Ling Lai, Colin Fyfe:
Reinforcement Learning for Topographic Mappings. 1354-1359 - Davide Anguita, Alessandro Ghio, Stefano Pischiutta, Sandro Ridella:
A Hardware-friendly Support Vector Machine for Embedded Automotive Applications. 1360-1364 - Ghada Abdelmouez, Sherif Hashem, Amir F. Atiya, Mohamed A. El-Gamal:
Neural Network vs. Linear Models for Stock Market Sectors Forecasting. 1365-1369 - Julio Viola, José A. Restrepo, Mary Diaz, José Manuel Aller, Ronald G. Harley, Thomas G. Habetler:
Simplified Control Structure for Current Control of Single Phase Rectifiers Using COT-ANN-PWM. 1370-1374 - Dragan Djurdjanovic, Jianbo Liu, Kenneth A. Marko, Jun Ni:
Immune Systems Inspired Approach to Anomaly Detection and Fault Diagnosis for Engines. 1375-1382 - Ulf Johansson, Rikard König, Lars Niklasson:
Inconsistency - Friend or Foe. 1383-1388 - Pedro Flores, Carlos Anaya, Hector M. Ramirez, Luis B. Morales:
Automated Linear Modeling of Time Series with Self Adaptive Genetic Algorithms. 1389-1396 - Umut Ozertem, Andras Gruber, Deniz Erdogmus:
Automatic Brain Image Segmentation for Evaluation of Experimental Ischemic Stroke Using Gradient vector flow and kernel annealing. 1397-1400 - Randal A. Koene, Michael E. Hasselmo:
A reversing buffer mechanism that enables instances of retrospective activity in hippocampal regions CA3 and CA1. 1401-1406 - Umut Ozertem, Deniz Erdogmus:
A Nonparametric Approach for Active Contours. 1407-1410 - Sang-Woo Ban, Minho Lee:
Autonomous Incremental Visual Environment Perception Based on Visual Selective Attention. 1411-1416 - Péter András, Samantha Lycett:
An advantage of chaotic neural dynamics. 1417-1422 - Rossella Blatt, Andrea Bonarini, Elisa Calabró, Matteo Della Torre, Matteo Matteucci, Ugo Pastorino:
Lung Cancer Identification by an Electronic Nose based on an Array of MOS Sensors. 1423-1428 - Haruhiko Takase, Masahiko Masahiko, Hidehiko Kita, Terumine Hayashi:
Enhancing both generalization and fault tolerance of multilayer neural networks. 1429-1433 - Alejandro Chinea Manrique De Lara, Michel Parent:
Risk Assessment Algorithms Based on Recursive Neural Networks. 1434-1440 - Antonio Oliveri, Riccardo Rizzo, Antonio Chella:
An Application of Spike-Timing-Dependent Plasticity to Readout Circuit for Liquid State Machine. 1441-1445 - Henrik Jacobsson, Stefan L. Frank, Diego Federici:
Automated Abstraction of Dynamic Neural Systems for Natural Language Processing. 1446-1451 - Valentina Lanza, Fernando Corinto, Marco Gilli:
Limit Cycles and Bifurcations in Cellular Nonlinear Networks. 1452-1457 - Colin Molter, Utku Salihoglu, Hugues Bersini:
How Stochastic Noise Helps Memory Retrieval in a Chaotic Brain. 1458-1463 - Marcelino Lázaro, José M. Leiva-Murillo, Antonio Artés-Rodríguez, Aníbal R. Figueiras-Vidal:
A New Cost Function for Binary Classification Problems Based on the Distributions of the Soft Output for Each Class. 1464-1469 - Andrea Loettgers:
The Hopfield model and its role in the development of synthetic biology. 1470-1475 - Azzam ul Asar, S. Riaz ul Hassnain, Affan Khan:
Short Term Load Forecasting Using Particle Swarm Optimization Based ANN Approach. 1476-1481 - Cláudio Adriano Policastro, Roseli A. F. Romero, Giovana Zuliani:
Robotic Architecture Inspired on Behavior Analysis. 1482-1487 - Rafael V. Borges, Luís C. Lamb, Artur S. d'Avila Garcez:
Reasoning and Learning About Past Temporal Knowledge in Connectionist Models. 1488-1493 - Vikramjit Mitra, Chia-Jiu Wang:
A Neural Network based Audio Content Classification. 1494-1499 - Kaspar Riesen, Horst Bunke:
Structural Classifier Ensembles for Vector Space Embedded Graphs. 1500-1505 - Charles Bouveyron, Hugh A. Chipman:
Visualization and classification of graph-structured data: the case of the Enron dataset. 1506-1511 - R. Anitha, C. Chandra Sekhar:
Acoustic Modeling using Vector Quantization in Kernel Feature Space and Classification using String Kernel based Support Vector Machines. 1512-1517 - Li-Chen Shi, Hong Yu, Bao-Liang Lu:
Semi-Supervised Clustering for Vigilance Analysis Based on EEG. 1518-1523 - Giuseppina Inuso, Fabio La Foresta, Nadia Mammone, Francesco Carlo Morabito:
Wavelet-ICA methodology for efficient artifact removal from Electroencephalographic recordings. 1524-1529 - Petia Georgieva, Cristina Oliveira, Fernando Rocha, Sebastião Feyo de Azevedo:
Process modeling strategy combining analytical and data based techniques - I. NN identification of reaction rates with known kinetics coefficients. 1530-1535 - Julio J. Valdés, Antonio Pou:
Greenland Temperatures and Solar Activity: A Computational Intelligence Approach. 1536-1541 - Yanhua Chen, Ming Dong, Manjeet Rege:
Gene Expression Clustering: a Novel Graph Partitioning Approach. 1542-1547 - Raul Llinares, Jorge Igual:
Identification of compounds in ice analogs with NMF algorithms. 1548-1553 - Jimmy Secretan, Michael Georgiopoulos, José Castro:
A Privacy Preserving Probabilistic Neural Network for Horizontally Partitioned Databases. 1554-1559 - David Robert Wallace Barr, Piotr Dudek, Jonathan M. Chambers, Kevin N. Gurney:
Implementation of multi-layer leaky integrator networks on a cellular processor array. 1560-1565 - Marcos G. Quiles, Liang Zhao, Roseli A. Francelin Romero:
A Visual Selection Mechanism Based on a Pulse-Coupled Neural Network. 1566-1571 - Zöhre Kara Kayikci, Heiner Markert, Günther Palm:
Neural Associative Memories and Hidden Markov Models for Speech Recognition. 1572-1577 - Sorin Babii, Vladimir Cretu, Emil M. Petriu:
Performance Evaluation of Two Distributed BackPropagation Implementations. 1578-1583 - Wojciech Stach, Lukasz A. Kurgan, Witold Pedrycz:
Parallel Learning of Large Fuzzy Cognitive Maps. 1584-1589 - Yu Fu, Antony Browne:
Using Ensembles of Neural Networks to Improve Automatic Relevance Determination. 1590-1594 - Petrônio L. Braga, Adriano L. I. Oliveira, Gustavo H. T. Ribeiro, Silvio R. L. Meira:
Bagging Predictors for Estimation of Software Project Effort. 1595-1600 - Oleksandr Makeyev, Edward Sazonov, Stephanie A. C. Schuckers, Edward L. Melanson, Michael R. Neuman:
Limited receptive area neural classifier for recognition of swallowing sounds using short-time Fourier transform. 1601-1606 - Ruben M. Rodriguez-Pena, Beatriz Pérez-Sánchez, Oscar Fontenla-Romero:
A Novel Local Classification Method using Growing Neural Gas and Proximal Support Vector Machines. 1607-1612 - Angelo Ciaramella, Sergio Cocozza, Francesco Iorio, Gennaro Miele, Francesco Napolitano, Michele Pinelli, Giancarlo Raiconi, Roberto Tagliaferri:
Clustering, Assessment and Validation: an application to gene expression data. 1613-1618 - Antonio Chella, Haris Dindo, Francesco Matraxia, Roberto Pirrone:
A Neuro-Genetic Approach to Real-Time Visual Grasp Synthesis. 1619-1626 - Erinija Pranckeviciene, Ray L. Somorjai, Muoi N. Tran:
Feature/Model Selection by the Linear Programming SVM Combined with State-of-Art Classifiers: What Can We Learn About the Data. 1627-1632 - Derek Beaton, Iren Valova:
RADDACL: A Recursive Algorithm for Clustering and Density Discovery on Non-linearly Separable Data. 1633-1638 - Oliver Herbort, Martin V. Butz:
Encoding Complete Body Models Enables Task Dependent Optimal Behavior. 1639-1644 - Daniel Weiler, Volker Willert, Julian Eggert, Edgar Körner:
A Probabilistic Method for Motion Pattern Segmentation. 1645-1650 - Anke Meyer-Bäse, Axel Saalbach:
Graphical Model-Based ICA Applied to the Analysis of fMRI and MRI Time Series. 1651-1656 - Alexandru Murgu:
Lyapunov Design of Repetitive Learning Control in Network Management Processes. 1657-1662 - Paulo J. G. Lisboa, Elia Biganzoli, Azzam F. Taktak, Terence A. Etchells, Ian H. Jarman, M. S. Hane Aung, Federico Ambrogi:
Assessing flexible models and rule extraction from censored survival data. 1663-1668 - Anke Meyer-Bäse, Rodney G. Roberts, Hyun Geun Yu:
Global Asymptotic Stability Analysis of Both Matched and Unmatched Uncertain Neural Networks. 1669-1672 - Zhi-Fei Ye, Bao-Liang Lu:
Learning Imbalanced Data Sets with a Min-Max Modular Support Vector Machine. 1673-1678 - Sylvain Chartier, Gyslain Giguère, Patrice Renaud, Jean-Marc Lina, Robert Proulx:
FEBAM: A Feature-Extracting Bidirectional Associative Memory. 1679-1684 - Xiang Peng, Irwin King:
Large Scale Imbalanced Classification with Biased Minimax Probability Machine. 1685-1690 - Anton Maximilian Schäfer, Daniel Schneegaß, Volkmar Sterzing, Steffen Udluft:
A Neural Reinforcement Learning Approach to Gas Turbine Control. 1691-1696 - Daniel MacLean, Iren Valova:
Parallel Growing SOM Monitored by Genetic Algorithm. 1697-1702 - Imen Cherif, Sabeur Abid, Farhat Fnaiech:
A Genetic Approach for Linear-Quadratic Channel Identification With Usual Communication Inputs. 1703-1707 - Saurabh Sureka, Michael T. Manry:
A Functional Link Network With Ordered Basis Functions. 1708-1713 - Pramod Lakshmi Narasimha, Michael T. Manry, Francisco J. Maldonado:
Upper Bound on Pattern Storage in Feedforward Networks. 1714-1719 - Gavin C. Cawley, Gareth J. Janacek, Nicola L. C. Talbot:
Generalised Kernel Machines. 1720-1725 - Ronaldo R. B. de Aquino, Otoni Nóbrega Neto, Milde M. S. Lira, Aida Araujo Ferreira, Manoel A. Carvalho, Geane B. Silva, Josinaldo B. de Oliveira:
Development of an Artificial Neural Network by Genetic Algorithm to Mid-Term Load Forecasting. 1726-1731 - Gavin C. Cawley, Nicola L. C. Talbot:
Agnostic Learning versus Prior Knowledge in the Design of Kernel Machines. 1732-1737 - Chaoxin Zheng, Aideen Long, Yuri Volkov, Anthony Davies, Dermot Kelleher, Khurshid Ahmad:
A Cross-Modal System for Cell Migration Image Annotation and Retrieval. 1738-1743 - Guillermo Jimenez-Estevez, Luis Vargas, Rodrigo Palma-Behnke:
An Evolutionary Approach for the Greenfield Planning Problem in Distribution Networks. 1744-1749 - A. A. Abdurrab, Michael T. Manry, Jiang Li, Sanjeev S. Malalur, R. G. Gore:
A Piecewise Linear Network Classifier. 1750-1755 - Peter Karsmakers, Kristiaan Pelckmans, Johan A. K. Suykens:
Multi-class kernel logistic regression: a fixed-size implementation. 1756-1761 - Berkman Sahiner, Heang-Ping Chan, Lubomir M. Hadjiiski:
Classifier Performance Estimation Under the Constraint of a Finite Sample Size: Resampling Schemes Applied to Neural Network Classifiers. 1762-1766 - Ryotaro Kamimura:
Controlled Competitive Learning: Extending Competitive Learning to Supervised Learning. 1767-1773 - Liwen You, Thorsteinn S. Rögnvaldsson:
Almost Linear Biobasis Function Neural Networks. 1774-1778 - Ryotaro Kamimura, Ryozo Kitajima:
Forced Information Maximization to Accelerate Information-Theoretic Competitive Learning. 1779-1784 - Youping Xiao, Ravi Rao, Guillermo A. Cecchi, Ehud Kaplan:
Cortical representation of information about visual attributes: one network or many? 1785-1789 - Masoud Mirmomeni, Caro Lucas, Behzad Moshiri:
Long Term Prediction of Chaotic Time Series with the Aid of Neuro Fuzzy Models, Spectral Analysis and Correlation Analysis. 1790-1795 - Aida Araujo Ferreira, Francisco Nascimento Jr., Ing Ren Tsang, George D. C. Cavalcanti, Teresa Bernarda Ludermir, Ronaldo R. B. de Aquino:
Analysis of mammogram using self-organizing neural networks based on spatial isomorphism. 1796-1801 - Karl P. Dockendorf, Thomas B. DeMarse:
Amplitude and Spike Timing Dependent Plasticity. 1802-1806 - Jered Cartmill, Mahmood R. Azimi-Sadjadi, Neil Wachowski:
Buried Underwater Object Classification Using a Collaborative Multi-Aspect Classifier. 1807-1812 - Elio Canestrelli, P. Canestrelli, Marco Corazza, Maurizio Filippone, Silvio Giove, Francesco Masulli:
Local Learning of Tide Level Time Series using a Fuzzy Approach. 1813-1818 - Tung-Yung Huang, Ching James Li, Ting-Wei Hsu:
Structure and Parameter Learning Algorithm of Jordan Type Recurrent Neural Networks. 1819-1824 - Mathias M. Adankon, Mohamed Cheriet:
Learning Semi-supervised SVM with Genetic Algorithm. 1825-1830 - António R. C. Paiva, Sudhir Rao, Il Park, José C. Príncipe:
Spectral Clustering of Synchronous Spike Trains. 1831-1835 - Hisashi Aomori, Tsuyoshi Otake, Nobuaki Takahashi, Mamoru Tanaka:
A Spatial Domain Sigma-Delta Modulation via Discrete-Time Cellular Neural Networks. 1836-1841 - Alireza A. Dibazar, Hyung-Ook Park, Theodore W. Berger:
The Application of Dynamic Synapse Neural Networks on Footstep and Vehicle Recognition. 1842-1846 - Ernst M. Kussul, Tatiana Baidyk, Oleksandr Makeyev:
Pairwise Permutation Coding Neural Classifier. 1847-1852 - Maryam Miradi:
Extraction of rules from Artificial Neural Network for Dutch Porous Asphalt Concrete Pavement. 1853-1858 - Raphaela G. Fernandes, Diego Rodrigo Cabral Silva, Luiz A. H. de Oliveira, Adrião Duarte Dória Neto:
Faults Detection and Isolation Based On Neural Networks Applied to a Levels Control System. 1859-1864 - Ashutosh Dwivedi, Naripeddy Subhash Chandra Bose, Prabhanjan Kandula, Prem Kumar Kalra:
Modified Forward Only Counterpropogation Network (MFOCPN) for Improved Color Quantization by Entropy based Sub-clustering. 1865-1870 - Aleksander Mendyk, Przemyslaw Dorozynski, Renata Jachowicz:
Artificial Neural Networks as Modeling Tools in the Identification of Drugs Release Mechanisms from Hydrodynamically-Balanced Systems Formulated with Various Polymers. 1871-1876 - Barbara Hammer, Alexander Hasenfuss, Frank-Michael Schleif, Thomas Villmann, Marc Strickert, Udo Seiffert:
Intuitive Clustering of Biological Data. 1877-1882 - Sudhir Rao, António R. C. Paiva, José C. Príncipe:
A Novel Weighted LBG Algorithm for Neural Spike Compression. 1883-1887 - Byron Olson, Jennie Si:
Adaptation in Neural Activity for Directional Control. 1888-1893 - Mohammed A. Hasan:
Orthonormalization Learning Algorithms. 1894-1899 - Renata L. M. E. do Rego, Aluízio F. R. Araújo, Fernando Buarque de Lima Neto:
Growing Self-Organizing Maps for Surface Reconstruction from Unstructured Point Clouds. 1900-1905 - Mohammed A. Hasan:
Adaptive Diagonalization for Canonical Correlation Analysis. 1906-1911 - Olga Nechaeva:
The Neural Network Approach to Automatic Construction of Adaptive Meshes on Multiply-connected Domains. 1912-1917 - Daqi Gao, Xiaoning Sun:
Function approximation model ensembles and their application to the simultaneous determination of sample categories and positions. 1918-1923 - Kiyomi Nakamura, Hironobu Takano:
Unregistered Face Discrimination by the Face Orientation and Size Recognition. 1924-1928 - Marcela P. Moreira, Leonardo T. B. Santos, Marley M. B. R. Vellasco:
Power Transformers Diagnosis Using Neural Networks. 1929-1934 - Ivan Aquino, Cesar Oswaldo Perez Pinche, Jacqueline Karina Chavez Cuzcano, Samuel Oporto-Díaz:
Daily Load Forecasting Using Quick Propagation Neural Network with a Special Holiday Encoding. 1935-1940 - Andrew R. Pariser, Willard L. Miranker:
Dimensionality Reduction via Self-Organizing Feature Maps for Collaborative Filtering. 1941-1946 - Gabriel L. F. B. G. Azevedo, George D. C. Cavalcanti, Edson C. B. Carvalho Filho:
Hybrid Solution for the Feature Selection in Personal Identification Problems through Keystroke Dynamics. 1947-1952 - Alexander Ocsa, Carlos Bedregal, Ernesto Cuadros-Vargas:
DB-GNG: A constructive Self-Organizing Map based on densilty. 1953-1958 - Mohammad Gholamrezaei, Kaveh Ghorbanian:
Rotated General Regression Neural Network. 1959-1964 - Antonio Pedro Timoszczuk, Euvaldo F. Cabral Jr.:
Speaker Recognition Using Pulse Coupled Neural Networks. 1965-1969 - Martin V. Butz, Alexandra Lenhard, Oliver Herbort:
Emergent Effector-Independent Internal Spaces: Adaptation and Intermanual Learning Transfer in Humans and Neural Networks. 1970-1975 - George G. Cabral, Adriano L. I. Oliveira, Carlos B. G. Cahu:
A Novel Method for One-Class Classification Based on the Nearest Neighbor Data Description and Structural Risk Minimization. 1976-1981 - Toshiro Kubota:
A Higher Order Associative Memory with McCulloch-Pitts neurons and Plastic Synapses. 1982-1989 - Pablo Zegers, Gonzalo Correa:
Boosting Learning Machines with Function Compositions to Avoid Local Minima in Regression Problems. 1990-1994 - Mohammad Reza Soltani, Kaveh Ghorbanian, Mohammad Gholamrezaei, Mohammad Reza Amiralaei:
Unsteady Three Dimensional Aerodynamic Load Prediction Using Neural Networks. 1995-1999 - Hironobu Takano, Takeshi Kawasaki, Hiroki Kobayashi, Kiyomi Nakamura:
Iris Discrimination Combined with the Shape and Orientation Recognition. 2000-2004 - Maciej A. Mazurowski, Piotr A. Habas, Georgia D. Tourassi, Jacek M. Zurada:
Impact of Low Class Prevalence on the Performance Evaluation of Neural Network Based Classifiers: Experimental Study in the Context of Computer-Assisted Medical Diagnosis. 2005-2009 - Weiming Li, Xiao-Hua Yu:
A Self-tuning Controller for Real-time Voltage Regulation. 2010-2014 - Takeshi Nishida, Shuichi Kurogi, Yuji Takemura, Hirohito Fukumoto, Shota Okada:
Range Data Approximation for Mobile Robot by Using CAN2. 2015-2019 - Shawn E. Taylor, Michael J. Healy, Thomas P. Caudell:
Categorical Mapping from Ontology to Neural Network: Initial Studies of Simple Neural Networks' Concept Capacity. 2020-2025 - Alan Rosen, Daniel Rosen:
A Robotic Optical Circuit that Generates a 3D-visual Image: Solution to the inverse optics problem for robotic visual seeing by reverse engineering the neurophysiology of the modalities of the retinal receptors. 2026-2033 - Fabio Aiolli, Fabrizio Sebastiani, Alessandro Sperduti:
Preference Learning for Category-Ranking based Interactive Text Categorization. 2034-2039 - Jaerock Kwon, Yoonsuck Choe:
Enhanced Facilitatory Neuronal Dynamics for Delay Compensation. 2040-2045 - Jian-Wu Xu, Hovagim Bakardjian, Andrzej Cichocki, José C. Príncipe:
A New Nonlinear Similarity Measure for Multichannel Biological Signals. 2046-2051 - Baohua Li, Jennie Si:
Approximate Robust Policy Iteration for Discounted Infinite-Horizon Markov Decision Processes with Uncertain Stationary Parametric Transition Matrices. 2052-2057 - Dulany B. Weaver, Michael J. Healy, Thomas P. Caudell:
An Application of Category-Theoretic Design Methods to the Control of a Simulated Robot. 2058-2063 - Il Park, António R. C. Paiva, José C. Príncipe, John G. Harris:
A Closed Form Solution for Multiple-Input Spike Based Adaptive Filters. 2064-2068 - Pablo A. Estévez, Ricardo Zilleruelo-Ramos, Jacek M. Zurada:
Window Merge Neural Gas for Processing Pattern Sequences. 2069-2074 - Ranjan Acharyya, Fredric M. Ham:
A New Approach for Blind Separation of Convolutive Mixtures. 2075-2080 - Marek W. Doniec, Brian Scassellati, Willard L. Miranker:
Emergence of Language-Specific Phoneme Classifiers in Self-Organized Maps. 2081-2086 - Wenxin Liu, Li Liu, David A. Cartes:
Slow Coherency and Angle Modulated Particle Swarm Optimization Based Islanding of Large Scale Power Systems. 2087-2092 - Wei Qiao, Ronald G. Harley, Ganesh K. Venayagamoorthy:
DHP-Based Wide-Area Coordinating Control of a Power System with a Large Wind Farm and Multiple FACTS Devices. 2093-2098 - Sven F. Crone, Rohit Dhawan:
Forecasting Seasonal Time Series with Neural Networks: A Sensitivity Analysis of Architecture Parameters. 2099-2104 - Ehsan Safavieh, Sarah Andalib, Arash Andalib:
Forecasting the Unknown Dynamics in NN3 Database Using a Nonlinear Autoregressive Recurrent Neural Network. 2105-2109 - Jin-Song Pei, Eric C. Mai, Joseph P. Wright, Andrew W. Smyth:
Neural Network Initialization with Prototypes - Function Approximation in Engineering Mechanics Applications. 2110-2116 - Takashi Nagatani, Shigeo Abe:
Backward Varilable Selection of Support Vector Regressors by Block Deletion. 2117-2122 - Robert J. Young, Mike Ritthaler, Peter Zimmer, John McGraw, Michael J. Healy, Thomas P. Caudell:
Comparison of Adaptive Resonance Theory Neural Networks for Astronomical Region of Interest Detection and Noise Characterization. 2123-2128 - Danil V. Prokhorov:
Toyota Prius HEV neurocontrol. 2129-2134 - Jaime J. Dávila:
Evolution of NN for the Design of Virtual Agents under Limited Resources Constraints. 2135-2140 - Malte Schilling, Holk Cruse:
Hierarchical MMC Networks as a manipulable body model. 2141-2146 - James T. Lo, Justin Nave:
Adaptive Neural Filters with Fixed Weights. 2147-2152 - Daqi Gao, Wei Wang, Jianliang Gao:
Class-modular multi-layer perceptions, task decomposition and virtually balanced training subsets. 2153-2158 - Francesco Bellocchio, Stefano Ferrari, Vincenzo Piuri, N. Alberto Borghese:
Online training of Hierarchical RBF. 2159-2164 - Jun Miao, Lijuan Duan, Laiyun Qing, Wen Gao, Yiqiang Chen:
Learning and Memory of Spatial Relationship by a Neural Network with Sparse Features. 2165-2170 - Andrew H. Toland, Lars A. Holstrom, George G. Lendaris:
Effectiveness of a Coupled Oscillator Network for Surface Discernment by a Quadruped Robot based on Kinesthetic Experience. 2171-2176 - Payal Shah, Hemant Ramaswami, Ali A. Minai:
Self-Organized Hebbian Inference of Environment Topology by Distributed Sensor Networks. 2177-2182 - Simona Doboli, Ali A. Minai, Vincent R. Brown:
Adaptive Dynamic Modularity in a Connectionist Model of Context-Dependent Idea Generation. 2183-2188 - Zhisong Wang, Alexander Maier, David A. Leopold, Hualou Liang:
Spatiotemporal Integration of Neuronal Activity for Single-Trial Classifications of Bistable Perception. 2189-2193 - Roman Ilin, Robert Kozma:
Control of multi-stable chaotic neural networks using input constraints. 2194-2199 - Vuk Malbasa, Slobodan Vucetic:
A Reservoir Sampling Algorithm with Adaptive Estimation of Conditional Expectation. 2200-2204 - Brijesh K. Verma, Hong Lee:
A Segmentatilon based Adaptive Approach for Curs'ive Handwriltten Text Recognition. 2212-2216 - Simon Streltsov, Sergey Petrov, Ilya Muchnik:
Practical Dynamic Logic GMTI Tracker. 2217-2222 - Shih-Yu Chiu, Leu-Shing Lan, Yu-Cheng Hwang:
Optimal Learning Rates for Some Principal Component Analysis Algorithms. 2223-2226 - Vicente Oswaldo Baez Monroy, Simon O'Keefe:
An Associative Memory for Association Rule Mining. 2227-2232 - Julio J. Valdés, Alan J. Barton:
Multi-objective Evolutionary Optimization of Neural Networks for Virtual Reality Visual Data Mining: Application to Hydrochemistry. 2233-2238 - Manish Saggar, Tekin Meriçli, Sari Andoni, Risto Miikkulainen:
System Identification for the Hodgkin-Huxley Model using Artificial Neural Networks. 2239-2244 - Yu-Cheng Hwang, Leu-Shing Lan, Shih-Yu Chiu:
Accelerating Local Convergence of the Information Theory-Based Algorithm for Principal Component Analysis. 2245-2249 - Yiwen Wang, António R. C. Paiva, José C. Príncipe, Justin C. Sanchez:
A Monte Carlo Sequential Estimation of Point Process Optimum Filtering for Brain Machine Interfaces. 2250-2255 - Mamoudou Barry, Eric Granger:
Face Recognition in Video Using a What-and-Where Fusion Neural Network. 2256-2261 - Michael McCarron, Mahmood R. Azimi-Sadjadi, Gordon Wichern, Michael Mungiole:
An Operationally Adaptive System for Rapid Acoustic Transmission Loss Prediction. 2262-2267 - Adam E. Gaweda, Mehmet Kerem Müezzinoglu, Jacek M. Zurada, Michael E. Brier:
Adaptive Prediction of Patient Response to Erythropoietin using Neural Network Ensemble. 2268-2270 - Addisson Salazar, Jorge Igual, Luis Vergara, Arturo Serrano:
Learning Hierarchies from ICA Mixtures. 2271-2276 - Hong Zeng, Yiu-ming Cheung:
Iterative Feature Selection in Gaussian Mixture Clustering with Automatic Model Selection. 2277-2282 - Fabian Ojeda, Johan A. K. Suykens, Bart De Moor:
Variable selection by rank-one updates for least squares support vector machines. 2283-2288 - Pasi Koikkalainen, Ismo Horppu:
Handling Missing Data with the Tree-Structured Self-Organizing Map. 2289-2294 - Nicolas J. Dedual, Mustafa C. Ozturk, Justin C. Sanchez, José C. Príncipe:
An Associative Memory Readout in ESN for Neural Action Potential Detection. 2295-2299 - Sandeep Chandana:
Neural Networks for Complex Valued Signals: A Preliminary Study. 2300-2305 - Tuan Zea Tan, Geok See Ng, Chai Quek:
Complementary Learning Fuzzy Neural Network: An Approach to Imbalanced Dataset. 2306-2311 - Roman V. Belavkin:
Do Neural Models Scale up to a Human Brain? 2312-2317 - Tuan Zea Tan, Geok See Ng, Chai Quek:
Complementary Decision Making System for Aiding Medical Image Diagnosis. 2324-2329 - Sam McKennoch, Preethi Sundaradevan, Linda G. Bushnell:
Theta Neuron Networks: Robustness to Noise in Embedded Applications. 2330-2335 - Il Song Han:
Biologically Inspired Hardware Implementation of Neural Networks with Programmable Conductance. 2336-2340 - Robert Kozma, Ross W. Deming, Leonid I. Perlovsky:
Estimation of Propagating Phase Transients in EEG Data - Application of Dynamic Logic Neural Modeling Approach. 2341-2345 - Yohei Takeuchi, Seiichi Ozawa, Shigeo Abe:
An Efficient Incremental Kernel Principal Component Analysis for Online Feature Selection. 2346-2351 - Aloísio Carlos de Pina, Gerson Zaverucha:
Applying REC Analysis to Ensembles of Particle Filters. 2352-2357 - Mark A. Kon, Dustin T. Holloway, Yue Fan, Chaitanya Sai, Charles DeLisi:
Learning Methods for DNA Binding in Computational Biology. 2358-2365 - Dipti Srinivasan, Vishal Sharma:
A Reduced Multivariate Polynomial Based Neural Network Model Pattern Classifier for Freeway Incident Detection. 2366-2372 - Adam Ponzi:
Model of Balance of Excitation and Inhibition in Hippocampal Sharp Wave Replays and Application to Spatial Remapping. 2373-2378 - Joseph DePasquale, Robi Polikar:
Random Feature Subset Selection for Analysis of Data with Missing Features. 2379-2384 - Zhaohong Deng, Fu-Lai Chung, Shitong Wang:
A New Minimax Probability Based Classifier Using Fuzzy Hyper-Ellipsoid. 2385-2390 - Olivier François, Philippe Leray:
Generation of Incompliete Test-Data usinng Bayesinan Networks. 2391-2396 - Pablo A. Estévez, Pablo A. Vera, Kazumi Saito:
Selecting the Most Influential Nodes in Social Networks. 2397-2402 - Rodrigo Sacchi, Mustafa C. Ozturk, José C. Príncipe, Adriano A. F. Carneiro, Ivan Nunes da Silva:
Water Inflow Forecasting using the Echo State Network: a Brazilian Case Study. 2403-2408 - Brian A. Balut, Matthew T. Karnick, Deborah Green, John Kounios, Christopher M. Clark, Robi Polikar:
Ensemble Based Data Fusion from Parietal Region Event Related Potentials for Early Diagnosis of Alzheimer's Disease. 2409-2414 - Cecilia Sönströd, Ulf Johansson:
Concept Description - A Fresh Look. 2415-2420 - Guillermo Navarro, Milos Manic:
Predictive E-Mail Server Performability Analysis Based on Fuzzy Arithmetic. 2421-2426 - Yaw-Jen Chang, Chi-Tim Chang, Jui-Ju Tsai:
Feature Extraction of Waveform Signals for Uncertain Dynamic Processes Using Neural Networks. 2427-2431 - Seungjin Choi:
Wake-Sleep PCA. 2432-2435 - Rolf Eckmiller, Rolf Schatten, Oliver Baruth:
Portable Biomimetic Retina for Learning, Perception-based Image Acquisition. 2436-2441 - Paolo Motto Ros, Eros Pasero:
Artificial Neural Networks for Real Time Reader Devices. 2442-2447 - Luis Martí:
An Hybrid Neural System based on Adaptive Resonance Theory and Representational Redescription capable of Variable Binding. 2448-2453 - Sven F. Crone, Swantje Pietsch:
A Naïve Support Vector Regression Benchmark for the NN3 Forecasting Competition. 2454-2459 - Cunli Liang, Yiu-ming Cheung, Yuping Wang:
A Bi-Objective Model for Shelf Space Allocation Using a Hybrid Genetic Algorithm. 2460-2465 - Shiro Usui:
A Neuroinformatics Platform for Vision Science: Visiome. 2466-2470 - Junfeng Xia, Bing Wang, De-Shuang Huang:
Inferring Strengths of Protein-Protein Interaction Using Artificial Neural Network. 2471-2475 - Wei-Chiang Hong, Shao-Lun Lee, Chien-Yuan Lai, Yi-Hsien Wu, Kuo-Liang Wang:
The potentiality of support vector regression with immune algorithm for regional electric load forecasting. 2476-2481 - ZhiPing Xu, Jinhong Pan, Shiyong Zhang:
A Novel Automatic Framework for Scoliosis X-Ray Image Retrieval. 2482-2485 - Sheng Chen, Andreas Wolfgang, Chris J. Harris, Lajos Hanzo:
Symmetric Kernel Detector for Multiple-Antenna Aided Beamforming Systems. 2486-2491 - Sheng Chen, Xia Hong, Chris J. Harris:
Probability Density Function Estimation Using Orthogonal Forward Regression. 2492-2497 - Xiaochen Hu, Gary G. Yen:
Local Signal based Supplementary Excitation Controller for Damping Inter-area Oscillations through Recurrent Neural Networks. 2498-2503 - Lei Yang, Jennie Si, Konstantinos S. Tsakalis, Armando A. Rodriguez:
Performance Analysis of Direct Heuristic Dynamic Programming using Control-Theoretic Measures. 2504-2509 - Wei Jia, De-Shuang Huang:
Palmprint Verification Based on Robust Orientation Code. 2510-2514 - Jacek Mandziuk, Marcin Jaruszewicz:
Neuro-evolutionary approach to stock market prediction. 2515-2520 - Christina B. Vilakazi, Tshilidzi Marwala:
Online Incremental Learning for High Voltage Bushing Condition Monitoring. 2521-2526 - Min Han, Wei Guo, Yunfeng Mu:
A Modified RBF Neural Network in Pattern Recognition. 2527-2532 - Paulo J. G. Lisboa, Terence A. Etchells, Ian H. Jarman, M. S. Hane Aung, Sylvie Chabaud, Thomas Bachelot, David Pérol, Thérèse Gargi, Valérie Bourdès, Stéphane Bonnevay, Sylvie Négrier:
Time-to-event analysis with artificial neural networks: An integrated analytical and rule-based study for breast cancer. 2533-2538 - Luiz S. Oliveira, Edson J. R. Justino, Robert Sabourin:
Off-line Signature Verification Using Writer-Independent Approach. 2539-2544 - Yiming Wu, Xiuwen Liu, Washington Mio:
Multi-Stage Optimal Component Analysis. 2545-2550 - Yulei Jiang:
Uncertainty in the Output of Artificial Neural Networks. 2551-2556 - Man Lan, Chew Lim Tan, Jian Su, Hwee-Boon Low:
Text Representations for Text Categorization: A Case Study in Biomedical Domain. 2557-2562 - Rui Chang, Martin Stetter:
Quantitative Bayesian Inference by Qualitative Knowledge Modeling. 2563-2568 - Alma Y. Alanis, Edgar N. Sánchez, Alexander G. Loukianov:
Discrete-Time Backstepping Neural Control for Synchronous Generators. 2569-2574 - Arash Andalib:
Competitive Decomposition of Input Space in a Competitive Modular Multinet System. 2575-2580 - Juha Reunanen:
Model Selection and Assessment Using Cross-indexing. 2581-2585 - Alexander N. Gorban, Neil R. Sumner, Andrei Yu. Zinovyev:
Branching Principal Components: Elastic Graphs, Topological Grammars and Metro Maps. 2586-2591 - ZhiHang Chen, Liping Huang, Yi Lu Murphey:
Incremental Learning for Text Document Classification. 2592-2597 - Jahangheer S. Shaik, Mohammed Yeasin:
A Unified Framework To Find Differentially Expressed Genes from Microarray Experiments. 2598-2603 - Jahangheer S. Shaik, Mohammed Yeasin:
Selection of Best Projection from 3D Star Coordinate Projection Space using Energy Minimization and Topology Preserving Mapping. 2604-2609 - Xiao-Lei Xia, Kang Li:
A New Score Correlation Analysis Multi-class Support Vector Machine for Microarray. 2610-2615 - Paulo Vinicius Wolski Radtke, Robert Sabourin, Tony Wong:
Annealing Based Approach to Optimize Classification Systems. 2616-2620 - Juyang Weng, Tianyu Luwang, Hong Lu, Xiangyang Xue:
The Multilayer In-Place Learning Network for the Development of General Invariances and Multi-Task Learning. 2621-2628 - David B. Rosen, Alan Rosen:
A Robotic Neural Net Based Visual-sensory Motor Control System that Reverse Engineers the Motor Control Functions of the Human Brain. 2629-2634 - Daniel L. Silver, Robert E. Mercer:
Sequential Inductive Transfer for Coronary Artery Disease Diagnosis. 2635-2641 - Hong Fu, Zheru Chi, David Dagan Feng, Weibao Zou, King Chuen Lo, Xiaoyu Zhao:
Pre-classification Module for an All-Season Image Retrieval System. 2642-2646 - Kouhei Nagashima, Masao Nakada, Yuko Osana:
Similarity-based Image Retrieval by Self-Organizing Map with Refractoriness. 2647-2652 - Zhe Tang, Meng Joo Er, Geok See Ng:
Humanoid Robotics Modeling by Dynamic Fuzzy Neural Network. 2653-2657 - Zhongqi Li, Liying Ma, Khashayar Khorasani:
Fault Diagnosis of an Actuator in the Attitude Control Subsystem of a Satellite using Neural Networks. 2658-2663 - Mahmood Amiri, Hamed Davande, Alireza Sadeghian, Seyyed Ali Seyyedsalehi:
Auto-Associative Neural Network Based on New Hybrid Model of SFNN and GRNN. 2664-2670 - Takashi Takenouchi, Shin Ishii:
A probabilistic decoding approach to multi-class classification. 2671-2676 - Hiroyuki Torikai, Atsuo Funew, Toshimichi Saito:
Approximation of Spike-trains by Digital Spiking Neuron. 2677-2682 - Anne-Mari Rusanen, Petri Ylikoski:
Neural Network Templates and Their Interpretation. 2683-2688 - Federico Vicentini:
Stability Analysis of Evolved Continuous Time Recurrent Neural Networks that Balance a Double Inverted Pendulum on a Cart. 2689-2694 - Yutaka Maeda, Naoto Matsushita:
Simultaneous Perturbation Particle Swarm Optimization Using FPGA. 2695-2700 - Cleber Zanchettin, Teresa Bernarda Ludermir:
Comparison of the Effectiveness of Different Cost Functions in Global Optimization Techniques. 2701-2706 - Vladimir A. Golovko, Svetlana V. Bezobrazova, Sergei V. Bezobrazov, Uladzimir S. Rubanau:
Application of Neural Networks to the Electroencephalogram Analysis for Epilepsy Detection. 2707-2711 - Bogdan Vrusias, Leonidas Vomvoridis, Lee Gillam:
Distributing SOM Ensemble Training using Grid Middleware. 2712-2717 - Tomohiro Inagaki, Toshimichi Saito, Hiroyuki Torikai:
Response of chaotic spiking circuit to periodic/nonperiodic inputs. 2718-2722 - Tetsuya Yagi, Kazuhiro Shimonomura:
Silicon primary visual cortex designed with a mixed analog-digital architecture. 2723-2728 - Cinthia Obladen de Almendra Freitas, João Marques de Carvalho, José Josemar de Oliveira Jr., Simone B. K. Aires, Robert Sabourin:
Distance-based Disagreement Classifiers Combination. 2729-2733 - Vladimir A. Golovko, Leanid U. Vaitsekhovich, Pavel A. Kochurko, Uladzimir S. Rubanau:
Dimensionality Reduction and Attack Recognition using Neural Network Approaches. 2734-2739 - Uzair Ahmad, Andrey Gavrilov, Sungyoung Lee, Young-Koo Lee:
Context-Aware Fuzzy ArtMap for Received Signal Strength Based Location Systems. 2740-2745 - K. R. Sivaramakrishnan, K. Karthik, Chiranjib Bhattacharyya:
Kernels for Large Margin Time-Series Classification. 2746-2751 - Fani A. Tzima, Kostas D. Karatzas, Pericles A. Mitkas, Stavros Karathanasis:
Using data-mining techniques for PM10 forecasting in the metropolitan area of Thessaloniki, Greece. 2752-2757 - Robert Linnehan, John Schindler, David Brady, Robert Kozma, Ross W. Deming, Leonid I. Perlovsky:
Resolving Wall Ambiguities Using Angular Diverse Synthetic Arrays. 2758-2763 - Peter Lee, Esther Costa, Stephanie McBader, Luca Clementel, Alvise Sartori:
LogTOTEM: A Logarithmic Neural Processor and its Implementation on an FPGA Fabric. 2764-2769 - Liang Zhao, Marcos G. Quiles, Antonio P. G. Damiance, Roseli A. Francelin Romero:
A Network of Dynamically Coupled Elements for Pixel Clustering. 2770-2775 - Antonino Fiannaca, Giuseppe Di Fatta, Riccardo Rizzo, Alfonso Urso, Salvatore Gaglio:
Fast Training of Self Organizing Maps for the Visual Exploration of Molecular Compounds. 2776-2781 - Kristina Davoian, Wolfram-Manfred Lippe:
Including Phenotype Information in Mutation to Evolve Artificial Neural Networks. 2782-2787 - Robert Neumayer, Rudolf Mayer, Georg Pölzlbauer, Andreas Rauber:
The Metro Visualisation of Component Planes for Self-Organising Maps. 2788-2793 - Travis Dierks, Sarangapani Jagannathan:
Neural Network Control of Robot Formations using RISE Feedback. 2794-2799 - Haibo He, Xiaoping Shen:
Adaptive Iterative Learning for Classification based on Feature Selection and Combination Voting. 2800-2805 - Alexandru George Floares:
Reverse Engineering Algorithm for Neural Networks Applied to the Subthalamopallidal Network of the Basal Ganglia. 2806-2811 - Amaury Lendasse, Elia Liitiäinen:
Variable Scaling for Time Series Prediction: Application to the ESTSP'07 and the NN3 Forecasting Competitions. 2812-2816 - Miao Kang, Dominic Palmer-Brown:
A Multi-layer ADaptive FUnction Neural Network (MADFUNN) for Letter Image Recognition. 2817-2822 - Wieslaw Sienko, Wieslaw Citko:
Orthogonal Filter-Based Classifiers and Associative Memories. 2823-2828 - Marc de Kamps, Volker Baier:
Multiple Interacting Instantiations of Neuronal Dynamics (MIIND): a Library for Rapid Prototyping of Models in Cognitive Neuroscience. 2829-2834 - Hugo de Garis, Jian Yu Tang, Di Huang:
Artificial Brains - A Cheap Method for Speeding the Evolution of Neural Network Modules for Artificial Brain Building. 2835-2839 - Seungju Han, Sudhir Rao, Deniz Erdogmus, José C. Príncipe:
A Novel Switching Scheme Between Adaptive Information Algorithms. 2840-2845 - Yunfeng Wu, Sin Chun Ng:
Breast Tissue Classification Based on Unbiased Linear Fusion of Neural Networks with Normalized Weighted Average Algorithm. 2846-2850 - David G. Brown, Brandon D. Gallas:
Performance Studies for Validation of CAD Systems. 2851-2856 - Eiji Mizutani, Jing-Yun Carey Fan:
On exploiting symmetry for multilayer perceptron learning. 2857-2862 - Milde M. S. Lira, Ronaldo R. B. de Aquino, Aida Araujo Ferreira, Manoel A. Carvalho, Otoni Nóbrega Neto, Gabriela S. M. Santos:
Combining Multiple Artificial Neural Networks Using Random Committee to Decide upon Electrical Disturbance Classification. 2863-2868 - Miguel E. R. Bezerra, Adriano L. I. Oliveira, Silvio R. L. Meira:
A Constructive RBF Neural Network for Estimating the Probability of Defects in Software Modules. 2869-2874 - Aymeric Chazottes, Michel Crépon, Sylvie Thiria:
Using SOM to estimate optical inherent properties from remote sensing reflectance. 2875-2880 - Timo Honkela:
Philosophical Aspects of Neural, Probabilistic and Fuzzy Modeling of Language Use and Translation. 2881-2886 - Jörg D. Wichard:
Agnostic Learning with Ensembles of Classifiers. 2887-2891 - Leonardo M. Holschuh, Clodoaldo Ap. M. Lima, Fernando J. Von Zuben:
A Wrapper for Projection Pursuit Learning. 2892-2897 - Dalong Li, Steven J. Simske, Russell M. Mersereau:
Single Image Super-Resolution Based on Support Vector Regression. 2898-2901 - Ashraf M. Abdelbar, Suzan Abdelshahid, Donald C. Wunsch II:
Gaussian Versus Cauchy Membership Functions in Fuzzy PSO. 2902-2907 - Ivette Luna, Secundino Soares, Rosangela Ballini:
A Constructive-Fuzzy System Modeling for Time Series Forecasting. 2908-2913 - Marcos D. Medeiros, Luiz M. G. Gonçalves:
A Fuzzy Approach to Stereo Vision Using Pyramidal Images with Different Starting Level. 2914-2919 - Carlos Alzate, Johan A. K. Suykens:
ICA through an LS-SVM based Kernel CCA Measure for Independence. 2920-2925 - Shawn T. Chivers, Gene A. Tagliarini, Ashraf M. Abdelbar:
An Evolutionary Optimization Approach to Cost-Based Abduction, with Comparison to PSO. 2926-2930 - Olivia Mendoza, Patricia Melin, Guillermo Licea:
Type-2 Fuzzy Systems for Improving Training Data and Decision Making in Modular Neural Networks for Image Recognition. 2931-2935 - Garen Arevian, Christo Panchev:
Optimising the Hystereses of a Two Context Layer RNN for Text Classification. 2936-2941 - Tayfun Gürel, Ulrich Egert, Steffen Kandler, Luc De Raedt, Stefan Rotter:
Predicting Spike Activity in Neuronal Cultures. 2942-2947 - Antti Sorjamaa, Amaury Lendasse:
Time Series Prediction as a Problem of Missing Values: Application to ESTSP2007 and NN3 Competition Benchmarks. 2948-2953 - Shuang Wu, Christoph von der Malsburg:
A Bayesian Algorithm for Motion and Structure Estimation from Image Sequences. 2954-2958 - Vladimir Pestov:
Intrinsic dimension of a dataset: what properties does one expect? 2959-2964 - Yasuaki Sakamoto, Toshihiko Matsuka:
Incorporating Forgetting in a Category Learning Model. 2965-2970 - Daqi Gao, Tao Zhang:
Support vector machine classifiers using RBF kernels with clustering-based centers and widths. 2971-2976 - Patricia Melin, Alejandra Mancilla, Miguel Lopez, Jose Soria, Oscar Castillo:
Pattern Recognition for Industrial Monitoring and Security using the Fuzzy Sugeno Integral and Modular Neural Networks. 2977-2981 - Reza Derakhshani, Arun Ross:
A Texture-Based Neural Network Classifier for Biometric Identification using Ocular Surface Vasculature. 2982-2987 - Stathis S. Leondopulos, Evangelia Micheli-Tzanakou:
A Model of the Subthalamo-Pallidal Network Undergoing Extrinsic Stimulation. 2988-2992 - Yoshifusa Ito, Crinivasan Srinivasan, Hiroyuki Izumi:
A Neural Network having Fewer Inner Constants to be Trained and Bayesian Decision. 2993-2998 - Mohammed E. Hoque, Mohammad S. Sorower, Mohammed Yeasin, Max M. Louwerse:
What Speech Tells Us About Discourse: The Role of Prosodic and Discourse Features in Speech Act Classification. 2999-3004 - Hongbo Deng, Jianke Zhu, Michael R. Lyu, Irwin King:
Two-stage Multi-class AdaBoost for Facial Expression Recognition. 3005-3010 - Adam Ponzi:
Replay, Working Memory and Action Selection in Temporal Credit Assignment - a Simple Neural Network Model. 3011-3016 - Anya L. Getman, Heng Zhou, Sandhya D. Jammalamadaka:
An Automated Network for Detecting Diesel Engine Misfire. 3017-3021 - Toshihiko Matsuka, Yasuaki Sakamoto:
Integrating a Flexible Representation Machinery in a Model of Human Concept Learning. 3022-3028 - Sukumar Kamalasadan:
An Organizational Coordinated Control Paradigm for Complex Systems based on Intelligent Agent Supervisory Loops. 3029-3034 - Mohsen Shahini, William W. Melek, John T. W. Yeow:
A Neural Network-based Learning Controller for Micro-sized Object Micromanipulation. 3035-3040 - Andreas Herzog, Karsten Kube, Bernd Michaelis, Ana D. de Lima, Thomas B. Voigt:
Structural adaptation in young neocortical networks modeled by spatially coupled oscillators. 3041-3044 - Komla A. Folly:
Robust Controller Design Based on a Combination of Genetic Algorithms and Competitive Learning. 3045-3050 - José Alfredo F. Costa, Ricardo S. Oliveira:
Cluster Analysis using Growing Neural Gas and Graph Partitioning. 3051-3056 - Yasar Becerikli, A. V. Olgac, E. Sen, F. Coskun:
Neural Network Based License Plate Recognition System. 3057-3061 - Shalom Darmanjian, António R. C. Paiva, José C. Príncipe, Justin C. Sanchez:
Hierarchal Decomposition of Neural Data using Boosted Mixtures of Hidden Markov Chains and its application to a BMI. 3062-3067 - Wilfredo Jaime Puma Villanueva, Euripedes P. dos Santos, Fernando J. Von Zuben:
Long-term time series prediction using wrappers for variable selection and clustering for data partition. 3068-3073 - Feng Xue, Weizhong Yan:
Parametric model-based anomaly detection for locomotive subsystems. 3074-3079 - Emílio Del Moral Hernandez:
Performing Neuro-Like Computation Through Attractor Networks with Nodes with Rich Dynamics. 3080-3085 - Oscar Castillo, Patricia Melin:
Comparison of Hybrid Intelligent Systems, Neural Networks and Interval Type-2 Fuzzy Logic for Time Series Prediction. 3086-3091 - Marc Boullé:
Report on Preliminary Experiments with Data Grid Models in the Agnostic Learning vs. Prior Knowledge Challenge. 3092-3097 - Mizuki Ihara, Shin-ichi Maeda, Shin Ishii:
Estimation of the Source-Filter Model Using Temporal Dynamics. 3098-3103 - Ming Z. Zhang, Vijayan K. Asari:
A New Framework for Automatic Feature Selection for Tracking. 3104-3109 - Wlodzislaw Duch, Pawel Matykiewicz, John Pestian:
Neurolinguistic Approach to Vector Representation of Medical Concepts. 3110-3115 - Harold Szu:
Theories of Neural Networks Leading to Unsupervised Learning. 3116-3123
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