Volume 13, October 2010

• 
  Masashi Sugiyama, Qiang Yang: Preface. i-xiv
• 
  Aapo Hyvärinen: Pairwise Measures of Causal Direction in Linear Non-Gaussian Acyclic Models. 1-16
• 
  Naresh Manwani, P. S. Sastry: Learning Polyhedral Classifiers Using Logistic Function. 17-30
• 
  Michinari Momma, Kohei Hatano, Hiroki Nakayama: Ellipsoidal Support Vector Machines. 31-46
• 
  Bo Dai, Baogang Hu: Minimum Conditional Entropy Clustering: A Discriminative Framework for Clustering. 47-62
• 
  Han Xiao, Thomas Stibor: Efficient Collapsed Gibbs Sampling for Latent Dirichlet Allocation. 63-78
• 
  Dmitry Kropotov, Dmitry Vetrov, Lior Wolf, Tal Hassner: Variational Relevance Vector Machine for Tabular Data. 79-94
• 
  Sunho Park, Seungjin Choi: Hierarchical Gaussian Process Regression. 95-110
• 
  Dorota Glowacka, John Shawe-Taylor: Content-based Image Retrieval with Multinomial Relevance Feedback. 111-125
• 
  Mahito Sugiyama, Akihiro Yamamoto: The Coding Divergence for Measuring the Complexity of Separating Two Sets. 127-143
• 
  Yasuo Tabei, Takeaki Uno, Masashi Sugiyama, Koji Tsuda: Single versus Multiple Sorting in All Pairs Similarity Search. 145-160
• 
  Masakazu Ishihata, Yoshitaka Kameya, Taisuke Sato, Shin-ichi Minato: An EM Algorithm on BDDs with Order Encoding for Logic-based Probabilistic Models. 161-176
• 
  Tarek Abudawood, Peter A. Flach: Exploiting the High Predictive Power of Multi-class Subgroups. 177-192
• 
  Kazumi Saito, Masahiro Kimura, Kouzou Ohara, Hiroshi Motoda: Generative Models of Information Diffusion with Asynchronous Timedelay. 193-208
• 
  Chunquan Liang, Yang Zhang, Qun Song: Decision Tree for Dynamic and Uncertain Data Streams. 209-224
• 
  Albert Bifet, Eibe Frank, Geoffrey Holmes, Bernhard Pfahringer: Accurate Ensembles for Data Streams: Combining Restricted Hoeffding Trees using Stacking. 225-240
• 
  Pei-Pei Li, Xindong Wu, Xuegang Hu: Mining Recurring Concept Drifts with Limited Labeled Streaming Data. 241-252
• 
  Kristian Kersting, Mirwaes Wahabzada, Christian Thurau, Christian Bauckhage: Hierarchical Convex NMF for Clustering Massive Data. 253-268
• 
  Xia Ning, George Karypis: Multi-task Learning for Recommender System. 269-284
• 
  Takamitsu Matsubara, Tetsuro Morimura, Jun Morimoto: Adaptive Step-size Policy Gradients with Average Reward Metric. 285-298
• 
  Odalric-Ambrym Maillard, Rémi Munos, Alessandro Lazaric, Mohammad Ghavamzadeh: Finite-sample Analysis of Bellman Residual Minimization. 299-314
• 
  Fabian Kaelin, Doina Precup: A Study of Approximate Inference in Probabilistic Relational Models. 315-330
• 
  Hossein Hajimirsadeghi, Majid Nili Ahmadabadi, Mostafa Ajallooeian, Babak Nadjar Araabi, Hadi Moradi: Conceptual Imitation Learning: An Application to Human-robot Interaction. 331-346

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