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

Regular Papers

• Gjergji Kasneci, Jurgen Van Gael, Ralf Herbrich, Thore Graepel:
  Bayesian Knowledge Corroboration with Logical Rules and User Feedback. 1-18
  
• Pooyan Khajehpour Tadavani, Ali Ghodsi:
  Learning an Affine Transformation for Non-linear Dimensionality Reduction. 19-34
  
• Hyungsul Kim, Sangkyum Kim, Tim Weninger, Jiawei Han, Tarek F. Abdelzaher:
  NDPMine: Efficiently Mining Discriminative Numerical Features for Pattern-Based Classification. 35-50
  
• Minyoung Kim, Vladimir Pavlovic:
  Hidden Conditional Ordinal Random Fields for Sequence Classification. 51-65
  
• Marius Kloft, Ulrich Rückert, Peter L. Bartlett:
  A Unifying View of Multiple Kernel Learning. 66-81
  
• Tomas Klos, Gerrit Jan van Ahee, Karl Tuyls:
  Evolutionary Dynamics of Regret Minimization. 82-96
  
• Elzbieta Kubera, Alicja Wieczorkowska, Zbigniew W. Ras, Magdalena Skrzypiec:
  Recognition of Instrument Timbres in Real Polytimbral Audio Recordings. 97-110
  
• Chris J. Kuhlman, V. S. Anil Kumar, Madhav V. Marathe, S. S. Ravi, Daniel J. Rosenkrantz:
  Finding Critical Nodes for Inhibiting Diffusion of Complex Contagions in Social Networks. 111-127
  
• Pavel P. Kuksa, Yanjun Qi, Bing Bai, Ronan Collobert, Jason Weston, Vladimir Pavlovic, Xia Ning:
  Semi-supervised Abstraction-Augmented String Kernel for Multi-level Bio-Relation Extraction. 128-144
  
• Gautam Kunapuli, Kristin P. Bennett, Amina Shabbeer, Richard Maclin, Jude W. Shavlik:
  Online Knowledge-Based Support Vector Machines. 145-161
  
• Alexandre Lacasse, François Laviolette, Mario Marchand, Francis Turgeon-Boutin:
  Learning with Randomized Majority Votes. 162-177
  
• Tobias Lang, Marc Toussaint, Kristian Kersting:
  Exploration in Relational Worlds. 178-194
  
• Theodoros Lappas, Dimitrios Gunopulos:
  Efficient Confident Search in Large Review Corpora. 195-210
  
• Edith Law, Burr Settles, Tom M. Mitchell:
  Learning to Tag from Open Vocabulary Labels. 211-226
  
• Yannick Le Bras, Patrick Meyer, Philippe Lenca, Stéphane Lallich:
  A Robustness Measure of Association Rules. 227-242
  
• Geoffrey Levine, Gerald DeJong, Li-Lun Wang, Rajhans Samdani, Shankar Vembu, Dan Roth:
  Automatic Model Adaptation for Complex Structured Domains. 243-258
  
• Marco Lippi, Matteo Bertini, Paolo Frasconi:
  Collective Traffic Forecasting. 259-273
  
• Fei Tony Liu, Kai Ming Ting, Zhi-Hua Zhou:
  On Detecting Clustered Anomalies Using SCiForest. 274-290
  
• Marco Loog:
  Constrained Parameter Estimation for Semi-supervised Learning: The Case of the Nearest Mean Classifier. 291-304
  
• Odalric-Ambrym Maillard, Rémi Munos:
  Online Learning in Adversarial Lipschitz Environments. 305-320
  
• Michael Mampaey, Jilles Vreeken:
  Summarising Data by Clustering Items. 321-336
  
• Mohammad M. Masud, Qing Chen, Jing Gao, Latifur Khan, Jiawei Han, Bhavani M. Thuraisingham:
  Classification and Novel Class Detection of Data Streams in a Dynamic Feature Space. 337-352
  
• Andreas Maunz, Christoph Helma, Tobias Cramer, Stefan Kramer:
  Latent Structure Pattern Mining. 353-368
  
• Wannes Meert, Nima Taghipour, Hendrik Blockeel:
  First-Order Bayes-Ball. 369-384
  
• Francisco S. Melo, Manuel Lopes:
  Learning from Demonstration Using MDP Induced Metrics. 385-401
  
• Guilherme Vale Menezes, Jussara M. Almeida, Fabiano Belém, Marcos André Gonçalves, Anísio Lacerda, Edleno Silva de Moura, Gisele L. Pappa, Adriano Veloso, Nivio Ziviani:
  Demand-Driven Tag Recommendation. 402-417
  
• Sofia Mosci, Lorenzo Rosasco, Matteo Santoro, Alessandro Verri, Silvia Villa:
  Solving Structured Sparsity Regularization with Proximal Methods. 418-433
  
• Sriraam Natarajan, Tushar Khot, Daniel Lowd, Prasad Tadepalli, Kristian Kersting, Jude W. Shavlik:
  Exploiting Causal Independence in Markov Logic Networks: Combining Undirected and Directed Models. 434-450
  
• Feiping Nie, Chris H. Q. Ding, Dijun Luo, Heng Huang:
  Improved MinMax Cut Graph Clustering with Nonnegative Relaxation. 451-466
  
• Siegfried Nijssen, Tias Guns:
  Integrating Constraint Programming and Itemset Mining. 467-482
  
• Maks Ovsjanikov, Ye Chen:
  Topic Modeling for Personalized Recommendation of Volatile Items. 483-498
  
• Tapio Pahikkala, Willem Waegeman, Antti Airola, Tapio Salakoski, Bernard De Baets:
  Conditional Ranking on Relational Data. 499-514
  

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