14. PKDD / 21. ECML 2010: Barcelona, Spain

Regular Papers

• Joni Pajarinen, Jaakko Peltonen, Ari Hottinen, Mikko A. Uusitalo:
  Efficient Planning in Large POMDPs through Policy Graph Based Factorized Approximations. 1-16
  
• Nikos Pelekis, Ioannis Kopanakis, Costas Panagiotakis, Yannis Theodoridis:
  Unsupervised Trajectory Sampling. 17-33
  
• Frédéric Pennerath:
  Fast Extraction of Locally Optimal Patterns Based on Consistent Pattern Function Variations. 34-49
  
• Franz Pernkopf, Michael Wohlmayr:
  Large Margin Learning of Bayesian Classifiers Based on Gaussian Mixture Models. 50-66
  
• Vincent Pisetta, Pierre-Emmanuel Jouve, Djamel A. Zighed:
  Learning with Ensembles of Randomized Trees : New Insights. 67-82
  
• Patrick Pletscher, Cheng Soon Ong, Joachim M. Buhmann:
  Entropy and Margin Maximization for Structured Output Learning. 83-98
  
• B. Aditya Prakash, Hanghang Tong, Nicholas Valler, Michalis Faloutsos, Christos Faloutsos:
  Virus Propagation on Time-Varying Networks: Theory and Immunization Algorithms. 99-114
  
• José Ramón Quevedo, Elena Montañés, Oscar Luaces, Juan José del Coz:
  Adapting Decision DAGs for Multipartite Ranking. 115-130
  
• Rudy Raymond, Hisashi Kashima:
  Fast and Scalable Algorithms for Semi-supervised Link Prediction on Static and Dynamic Graphs. 131-147
  
• Sebastian Riedel, Limin Yao, Andrew McCallum:
  Modeling Relations and Their Mentions without Labeled Text. 148-163
  
• Sergio Rodrigues de Morais, Alex Aussem:
  An Efficient and Scalable Algorithm for Local Bayesian Network Structure Discovery. 164-179
  
• Kazumi Saito, Masahiro Kimura, Kouzou Ohara, Hiroshi Motoda:
  Selecting Information Diffusion Models over Social Networks for Behavioral Analysis. 180-195
  
• Katya Scheinberg, Irina Rish:
  Learning Sparse Gaussian Markov Networks Using a Greedy Coordinate Ascent Approach. 196-212
  
• Madeleine Seeland, Tobias Girschick, Fabian Buchwald, Stefan Kramer:
  Online Structural Graph Clustering Using Frequent Subgraph Mining. 213-228
  
• Aliaksei Severyn, Alessandro Moschitti:
  Large-Scale Support Vector Learning with Structural Kernels. 229-244
  
• Junming Shao, Christian Böhm, Qinli Yang, Claudia Plant:
  Synchronization Based Outlier Detection. 245-260
  
• Pannagadatta K. Shivaswamy, Tony Jebara:
  Laplacian Spectrum Learning. 261-276
  
• Evgueni N. Smirnov, Georgi I. Nalbantov, Nikolay I. Nikolaev:
  k-Version-Space Multi-class Classification Based on k-Consistency Tests. 277-292
  
• Philippe Rolet, Olivier Teytaud:
  Complexity Bounds for Batch Active Learning in Classification. 293-305
  
• Bin Tong, Hao Shao, Bin-Hui Chou, Einoshin Suzuki:
  Semi-supervised Projection Clustering with Transferred Centroid Regularization. 306-321
  
• Ioannis Tsamardinos, Giorgos Borboudakis:
  Permutation Testing Improves Bayesian Network Learning. 322-337
  
• Antti Ukkonen, Marta Arias:
  Example-dependent Basis Vector Selection for Kernel-Based Classifiers. 338-353
  
• Pedro O. S. Vaz de Melo, Leman Akoglu, Christos Faloutsos, Antonio Alfredo Ferreira Loureiro:
  Surprising Patterns for the Call Duration Distribution of Mobile Phone Users. 354-369
  
• Jaakko Viinikanoja, Arto Klami, Samuel Kaski:
  Variational Bayesian Mixture of Robust CCA Models. 370-385
  
• Jean Villerd, Yannick Toussaint, Agnès Lillo-Le Louët:
  Adverse Drug Reaction Mining in Pharmacovigilance Data Using Formal Concept Analysis. 386-401
  
• Mirwaes Wahabzada, Zhao Xu, Kristian Kersting:
  Topic Models Conditioned on Relations. 402-417
  
• Yuyang Wang, Roni Khardon, Pavlos Protopapas:
  Shift-Invariant Grouped Multi-task Learning for Gaussian Processes. 418-434
  
• Pu Wang, Carlotta Domeniconi, Kathryn Blackmond Laskey:
  Nonparametric Bayesian Clustering Ensembles. 435-450
  
• Hua Wang, Chris H. Q. Ding, Heng Huang:
  Directed Graph Learning via High-Order Co-linkage Analysis. 451-466
  
• Aaron Wilson, Alan Fern, Prasad Tadepalli:
  Incorporating Domain Models into Bayesian Optimization for RL. 467-482
  
• Sihong Xie, Wei Fan, Olivier Verscheure, Jiangtao Ren:
  Efficient and Numerically Stable Sparse Learning. 483-498
  
• Zhao Xu, Kristian Kersting, Thorsten Joachims:
  Fast Active Exploration for Link-Based Preference Learning Using Gaussian Processes. 499-514
  
• Mikhail Zaslavskiy, Francis Bach, Jean-Philippe Vert:
  Many-to-Many Graph Matching: A Continuous Relaxation Approach. 515-530
  
• Fedor Zhdanov, Vladimir Vovk:
  Competitive Online Generalized Linear Regression under Square Loss. 531-546
  
• ErHeng Zhong, Wei Fan, Qiang Yang, Olivier Verscheure, Jiangtao Ren:
  Cross Validation Framework to Choose amongst Models and Datasets for Transfer Learning. 547-562
  
• Albrecht Zimmermann, Björn Bringmann, Ulrich Rückert:
  Fast, Effective Molecular Feature Mining by Local Optimization. 563-578
  

Demo Papers

• Lorand Dali, Delia Rusu, Blaz Fortuna, Dunja Mladenic, Marko Grobelnik:
  AnswerArt - Contextualized Question Answering. 579-582
  
• Blaz Fortuna, Carolina Fortuna, Dunja Mladenic:
  Real-Time News Recommender System. 583-586
  
• Stefan Haun, Andreas Nürnberger, Tobias Kötter, Kilian Thiel, Michael R. Berthold:
  CET: A Tool for Creative Exploration of Graphs. 587-590
  
• Mijail Alexandrov Kabadjov, Martin Atkinson, Josef Steinberger, Ralf Steinberger, Erik Van der Goot:
  NewsGist: A Multilingual Statistical News Summarizer. 591-594
  
• Nattiya Kanhabua, Kjetil Nørvåg:
  QUEST: Query Expansion Using Synonyms over Time. 595-598
  
• Vasileios Lampos, Tijl De Bie, Nello Cristianini:
  Flu Detector - Tracking Epidemics on Twitter. 599-602
  
• Panagis Magdalinos, Anastasios Kapernekas, Alexandros Mpiratsis, Michalis Vazirgiannis:
  X-SDR: An Extensible Experimentation Suite for Dimensionality Reduction. 603-606
  
• Emmanuel Müller, Matthias Schiffer, Patrick Gerwert, Matthias Hannen, Timm Jansen, Thomas Seidl:
  SOREX: Subspace Outlier Ranking Exploration Toolkit. 607-610
  
• Katerina Papantoniou, George Tsatsaronis, Georgios Paliouras:
  KDTA: Automated Knowledge-Driven Text Annotation. 611-614
  
• Tristan Snowsill, Ilias N. Flaounas, Tijl De Bie, Nello Cristianini:
  Detecting Events in a Million New York Times Articles. 615-618
  
• Ilija Subasic, Bettina Berendt:
  Experience STORIES: A Visual News Search and Summarization System. 619-623
  
• Roberto Trasarti, Salvatore Rinzivillo, Fabio Pinelli, Mirco Nanni, Anna Monreale, Chiara Renso, Dino Pedreschi, Fosca Giannotti:
  Exploring Real Mobility Data with M-Atlas. 624-627
  

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