15. PKDD / 22. ECML 2011: Athens, Greece

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 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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