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ORCID21. ICANN 2011: Espoo, Finland
- Timo Honkela, Wlodzislaw Duch, Mark A. Girolami, Samuel Kaski:
Artificial Neural Networks and Machine Learning - ICANN 2011 - 21st International Conference on Artificial Neural Networks, Espoo, Finland, June 14-17, 2011, Proceedings, Part I. Lecture Notes in Computer Science 6791, Springer 2011, ISBN 978-3-642-21734-0 - Jyri J. Kivinen, Christopher K. I. Williams:
Transformation Equivariant Boltzmann Machines. 1-9 - KyungHyun Cho, Alexander Ilin, Tapani Raiko:
Improved Learning of Gaussian-Bernoulli Restricted Boltzmann Machines. 10-17 - David P. Reichert, Peggy Seriès, Amos J. Storkey:
A Hierarchical Generative Model of Recurrent Object-Based Attention in the Visual Cortex. 18-25 - Siamac Fazli
, Márton Danóczy, Jürg Schelldorfer, Klaus-Robert Müller:
ℓ1-Penalized Linear Mixed-Effects Models for BCI. 26-35 - Sven Dähne, Johannes Höhne, Martijn Schreuder, Michael Tangermann:
Slow Feature Analysis - A Tool for Extraction of Discriminating Event-Related Potentials in Brain-Computer Interfaces. 36-43 - Geoffrey E. Hinton, Alex Krizhevsky, Sida D. Wang:
Transforming Auto-Encoders. 44-51 - Jonathan Masci, Ueli Meier, Dan C. Ciresan, Jürgen Schmidhuber:
Stacked Convolutional Auto-Encoders for Hierarchical Feature Extraction. 52-59 - Sander M. Bohté:
Error-Backpropagation in Networks of Fractionally Predictive Spiking Neurons. 60-68 - Petia D. Koprinkova-Hristova, Günther Palm:
ESN Intrinsic Plasticity versus Reservoir Stability. 69-76 - Snaider Carrillo, Jim Harkin, Liam McDaid, Sandeep Pande, Seamus Cawley, Fearghal Morgan:
Adaptive Routing Strategies for Large Scale Spiking Neural Network Hardware Implementations. 77-84 - Jan Faigl, Libor Preucil:
Self-Organizing Map for the Multi-Goal Path Planning with Polygonal Goals. 85-92 - Mathieu Lefort, Yann Boniface, Bernard Girau:
Unlearning in the BCM Learning Rule for Plastic Self-organization in a Multi-modal Architecture. 93-100 - Matthew Cook, Florian Jug, Christoph Krautz:
Neuronal Projections Can Be Sharpened by a Biologically Plausible Learning Mechanism. 101-108 - Ryotaro Kamimura:
Explicit Class Structure by Weighted Cooperative Learning. 109-116 - Hernán Ahumada, Guillermo L. Grinblat, Pablo M. Granitto:
Unsupervized Data-Driven Partitioning of Multiclass Problems. 117-125 - Giorgio Gnecco, Vera Kurková, Marcello Sanguineti:
Bounds for Approximate Solutions of Fredholm Integral Equations Using Kernel Networks. 126-133 - Antti Airola, Tapio Pahikkala, Tapio Salakoski:
An Improved Training Algorithm for the Linear Ranking Support Vector Machine. 134-141 - Fabio Aiolli, Giovanni Da San Martino, Alessandro Sperduti:
Extending Tree Kernels with Topological Information. 142-149 - Frank-Michael Schleif, Andrej Gisbrecht, Barbara Hammer:
Accelerating Kernel Neural Gas. 150-158 - René Felix Reinhart, Jochen Jakob Steil:
State Prediction: A Constructive Method to Program Recurrent Neural Networks. 159-166 - Yang Zhang, Shun Nishide, Toru Takahashi, Hiroshi G. Okuno, Tetsuya Ogata:
Cluster Self-organization of Known and Unknown Environmental Sounds Using Recurrent Neural Network. 167-175 - Nikolay I. Nikolaev, Peter Tiño, Evgueni N. Smirnov:
Time-Dependent Series Variance Estimation via Recurrent Neural Networks. 176-184 - Hans-Georg Zimmermann, Alexey Minin, Victoria Kusherbaeva:
Historical Consistent Complex Valued Recurrent Neural Network. 185-192 - Jouni Hartikainen, Jaakko Riihimäki, Simo Särkkä:
Sparse Spatio-temporal Gaussian Processes with General Likelihoods. 193-200 - Simo Särkkä:
Learning Curves for Gaussian Processes via Numerical Cubature Integration. 201-208 - Tommi Suvitaival, Ilkka Huopaniemi, Matej Oresic, Samuel Kaski:
Cross-Species Translation of Multi-way Biomarkers. 209-216 - Masato Yonekawa, Hiroaki Kurokawa:
An Evaluation of the Image Recognition Method Using Pulse Coupled Neural Network. 217-224 - Enrique Romero:
Using the Leader Algorithm with Support Vector Machines for Large Data Sets. 225-232 - Borbála Hunyadi, Maarten De Vos, Marco Signoretto, Johan A. K. Suykens, Wim Van Paesschen, Sabine Van Huffel:
Automatic Seizure Detection Incorporating Structural Information. 233-240 - Andrew M. Dai, Amos J. Storkey:
The Grouped Author-Topic Model for Unsupervised Entity Resolution. 241-249 - Zhirong Yang, He Zhang, Zhijian Yuan, Erkki Oja:
Kullback-Leibler Divergence for Nonnegative Matrix Factorization. 250-257 - Yoshiyuki Asai, Alessandro E. P. Villa:
Distributed Deterministic Temporal Information Propagated by Feedforward Neural Networks. 258-265 - Akio Yoshida, Yuko Osana:
Chaotic Complex-Valued Multidirectional Associative Memory with Variable Scaling Factor. 266-274 - Sami Virpioja, Minna Lehtonen, Annika Hultén, Riitta Salmelin, Krista Lagus:
Predicting Reaction Times in Word Recognition by Unsupervised Learning of Morphology. 275-282 - Asuka Terai, Saori Hirose, Naoko Kuriyama, Masanori Nakagawa:
An Examination of the Dynamic Interaction within Metaphor Understanding Using a Model Simulation. 283-290 - Konstantinos Raftopoulos, Stefanos D. Kollias:
Visual Pathways for Shape Abstraction. 291-298 - Ramya Rasipuram, Mathew Magimai-Doss:
Improving Articulatory Feature and Phoneme Recognition Using Multitask Learning. 299-306 - George Kachergis, Gregory E. Cox, Michael N. Jones:
OrBEAGLE: Integrating Orthography into a Holographic Model of the Lexicon. 307-314 - Sascha Klement, Thomas Martinetz:
On the Problem of Finding the Least Number of Features by L1-Norm Minimisation. 315-322 - Michael Gutmann, Aapo Hyvärinen:
Extracting Coactivated Features from Multiple Data Sets. 323-330 - Luís A. Alexandre:
Single Layer Complex Valued Neural Network with Entropic Cost Function. 331-338 - Klaus Neumann, Jochen J. Steil:
Batch Intrinsic Plasticity for Extreme Learning Machines. 339-346 - Peter Mysling, Søren Hauberg, Kim Steenstrup Pedersen:
An Empirical Study on the Performance of Spectral Manifold Learning Techniques. 347-354 - Teemu Pulkkinen, Teemu Roos, Petri Myllymäki:
Semi-supervised Learning for WLAN Positioning. 355-362 - Kazuyuki Hara, Seiji Miyoshi:
Ensemble-Teacher Learning through a Perceptron Rule with a Margin. 363-370 - Hiroshi Okamoto:
Topic-Dependent Document Ranking: Citation Network Analysis by Analogy to Memory Retrieval in the Brain. 371-378 - Curzio Basso, Matteo Santoro, Alessandro Verri, Silvia Villa:
PADDLE: Proximal Algorithm for Dual Dictionaries LEarning. 379-386
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