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ORCID15th PKDD / 22nd ECML 2011: Athens, Greece
- Dimitrios Gunopulos, Thomas Hofmann, Donato Malerba, Michalis Vazirgiannis:
Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2011, Athens, Greece, September 5-9, 2011, Proceedings, Part II. Lecture Notes in Computer Science 6912, Springer 2011, ISBN 978-3-642-23782-9
Regular Papers
- Satoshi Hara, Takashi Washio:
Common Substructure Learning of Multiple Graphical Gaussian Models. 1-16 - Dan He:
Mining Research Topic-Related Influence between Academia and Industry. 17-31 - Gregor Heinrich:
Typology of Mixed-Membership Models: Towards a Design Method. 32-47 - Balázs Hidasi
, Csaba Gáspár-Papanek:
ShiftTree: An Interpretable Model-Based Approach for Time Series Classification. 48-64 - Mohd. Hanafi Ahmad Hijazi, Chuntao Jiang, Frans Coenen, Yalin Zheng:
Image Classification for Age-related Macular Degeneration Screening Using Hierarchical Image Decompositions and Graph Mining. 65-80 - Tuyen N. Huynh, Raymond J. Mooney:
Online Structure Learning for Markov Logic Networks. 81-96 - Xiaoye Jiang, Jonathan Huang, Leonidas J. Guibas:
Fourier-Information Duality in the Identity Management Problem. 97-113 - Yi Jiang, Jiangtao Ren:
Eigenvector Sensitive Feature Selection for Spectral Clustering. 114-129 - Yoonseop Kang, Seungjin Choi:
Restricted Deep Belief Networks for Multi-view Learning. 130-145 - Vasileios Karavasilis, Konstantinos Blekas, Christophoros Nikou:
Motion Segmentation by Model-Based Clustering of Incomplete Trajectories. 146-161 - Attila Kertész-Farkas, Beáta Reiz, Michael P. Myers, Sándor Pongor:
PTMSearch: A Greedy Tree Traversal Algorithm for Finding Protein Post-Translational Modifications in Tandem Mass Spectra. 162-176 - Sangkyum Kim, Marina Barsky, Jiawei Han:
Efficient Mining of Top Correlated Patterns Based on Null-Invariant Measures. 177-192 - William Klement, Peter A. Flach, Nathalie Japkowicz, Stan Matwin:
Smooth Receiver Operating Characteristics (smROC) Curves. 193-208 - Sokol Koço, Cécile Capponi:
A Boosting Approach to Multiview Classification with Cooperation. 209-228 - Orestis Kostakis, Panagiotis Papapetrou, Jaakko Hollmén:
ARTEMIS: Assessing the Similarity of Event-Interval Sequences. 229-244 - Danai Koutra, Tai-You Ke, U Kang, Duen Horng Chau, Hsing-Kuo Kenneth Pao, Christos Faloutsos:
Unifying Guilt-by-Association Approaches: Theorems and Fast Algorithms. 245-260 - Georg Krempl, Zaigham Faraz Siddiqui, Myra Spiliopoulou:
Online Clustering of High-Dimensional Trajectories under Concept Drift. 261-276 - Ondrej Kuzelka, Andrea Szabóová, Matej Holec, Filip Zelezný:
Gaussian Logic for Predictive Classification. 277-292 - Theodoros Lappas, Evimaria Terzi:
Toward a Fair Review-Management System. 293-309 - Gayle Leen, Jaakko Peltonen, Samuel Kaski:
Focused Multi-task Learning Using Gaussian Processes. 310-325 - Matteo Leonetti, Luca Iocchi, Subramanian Ramamoorthy:
Reinforcement Learning through Global Stochastic Search in N-MDPs. 326-340 - Jefrey Lijffijt, Panagiotis Papapetrou, Kai Puolamäki, Heikki Mannila:
Analyzing Word Frequencies in Large Text Corpora Using Inter-arrival Times and Bootstrapping. 341-357 - Corrado Loglisci, Michelangelo Ceci:
Discovering Temporal Bisociations for Linking Concepts over Time. 358-373 - Gabriele Lombardi, Alessandro Rozza, Claudio Ceruti, Elena Casiraghi, Paola Campadelli:
Minimum Neighbor Distance Estimators of Intrinsic Dimension. 374-389 - Dijun Luo, Chris H. Q. Ding, Heng Huang:
Graph Evolution via Social Diffusion Processes. 390-404 - Dijun Luo, Feiping Nie, Chris H. Q. Ding, Heng Huang:
Multi-Subspace Representation and Discovery. 405-420 - Dimitrios Mavroeidis, Elena Marchiori:
A Novel Stability Based Feature Selection Framework for k-means Clustering. 421-436 - Aditya Krishna Menon, Charles Elkan:
Link Prediction via Matrix Factorization. 437-452 - Bjoern H. Menze, B. Michael Kelm, Daniel Nicolas Splitthoff, Ullrich Köthe, Fred A. Hamprecht:
On Oblique Random Forests. 453-469 - Ofer Meshi, Amir Globerson:
An Alternating Direction Method for Dual MAP LP Relaxation. 470-483 - Elena Montañés, José Ramón Quevedo, Juan José del Coz:
Aggregating Independent and Dependent Models to Learn Multi-label Classifiers. 484-500 - Atsuhiro Narita, Kohei Hayashi, Ryota Tomioka, Hisashi Kashima:
Tensor Factorization Using Auxiliary Information. 501-516 - Canh Hao Nguyen, Hiroshi Mamitsuka:
Kernels for Link Prediction with Latent Feature Models. 517-532 - Hidekazu Oiwa, Shin Matsushima, Hiroshi Nakagawa:
Frequency-Aware Truncated Methods for Sparse Online Learning. 533-548 - Panagiotis Papapetrou, Aristides Gionis, Heikki Mannila:
A Shapley Value Approach for Influence Attribution. 549-564 - Laurence Anthony F. Park:
Fast Approximate Text Document Clustering Using Compressive Sampling. 565-580 - Pekka Parviainen, Mikko Koivisto:
Ancestor Relations in the Presence of Unobserved Variables. 581-596 - Jing Peng, Costin Barbu, Guna Seetharaman, Wei Fan, Xian Wu, Kannappan Palaniappan:
ShareBoost: Boosting for Multi-view Learning with Performance Guarantees. 597-612 - Pascal Poupart, Tobias Lang, Marc Toussaint:
Analyzing and Escaping Local Optima in Planning as Inference for Partially Observable Domains. 613-628 - Sindhu Raghavan, Raymond J. Mooney:
Abductive Plan Recognition by Extending Bayesian Logic Programs. 629-644 - Salah Rifai, Grégoire Mesnil, Pascal Vincent, Xavier Muller, Yoshua Bengio, Yann N. Dauphin, Xavier Glorot:
Higher Order Contractive Auto-Encoder. 645-660 - Matteo Riondato, Mert Akdere, Ugur Çetintemel, Stanley B. Zdonik, Eli Upfal:
The VC-Dimension of SQL Queries and Selectivity Estimation through Sampling. 661-676
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