Dimitrios Gunopulos, Thomas Hofmann, Donato Malerba, Michalis Vazirgiannis (Eds.): Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2011, Athens, Greece, September 5-9, 2011, Proceedings, Part II. Springer 2011 Lecture Notes in Computer Science 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
- Xiaoye Jiang, Jonathan Huang, Leonidas J. Guibas: Fourier-Information Duality in the Identity Management Problem. 97-113
- 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
- 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, 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
- Bjoern H. Menze, B. Michael Kelm, Daniel Nicolas Splitthoff, Ullrich Köthe, Fred A. Hamprecht: On Oblique Random Forests. 453-469
- 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
- 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 A. 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 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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