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Volume 13: Proceedings of 2nd Asian Conference on Machine Learning, 8-10 November 2010, Tokyo, Japan

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Editors: Masashi Sugiyama, Qiang Yang

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Contents:

Preface

Preface

Masashi Sugiyama,  Qiang Yang ; PMLR 13:i-xiv

Accepted Papers

Pairwise Measures of Causal Direction in Linear Non-Gaussian Acyclic Models

Aapo Hyvarinen ; PMLR 13:1-16

Learning Polyhedral Classifiers Using Logistic Function

Naresh Manwani,  P. S. Sastry ; PMLR 13:17-30

Ellipsoidal Support Vector Machines

Michinari Momma,  Kohei Hatano,  Hiroki Nakayama ; PMLR 13:31-46

Minimum Conditional Entropy Clustering: A Discriminative Framework for Clustering

Bo Dai,  Baogang Hu ; PMLR 13:47-62

Efficient Collapsed Gibbs Sampling for Latent Dirichlet Allocation

Han Xiao,  Thomas Stibor ; PMLR 13:63-78

Variational Relevance Vector Machine for Tabular Data

Dmitry Kropotov,  Dmitry Vetrov,  Lior Wolf,  Tal Hassner ; PMLR 13:79-94

Hierarchical Gaussian Process Regression

Sunho Park,  Seungjin Choi ; PMLR 13:95-110

Content-based Image Retrieval with Multinomial Relevance Feedback

Dorota Glowacka,  John Shawe-Taylor ; PMLR 13:111-125

The Coding Divergence for Measuring the Complexity of Separating Two Sets

Mahito Sugiyama,  Akihiro Yamamoto ; PMLR 13:127-143

Single versus Multiple Sorting in All Pairs Similarity Search

Yasuo Tabei,  Takeaki Uno,  Masashi Sugiyama,  Koji Tsuda ; PMLR 13:145-160

An EM Algorithm on BDDs with Order Encoding for Logic-based Probabilistic Models

Masakazu Ishihata,  Yoshitaka Kameya,  Taisuke Sato,  Shin-ichi Minato ; PMLR 13:161-176

Exploiting the High Predictive Power of Multi-class Subgroups

Tarek Abudawood,  Peter Flach ; PMLR 13:177-192

Generative Models of Information Diffusion with Asynchronous Timedelay

Kazumi Saito,  Masahiro Kimura,  Kouzou Ohara,  Hiroshi Motoda ; PMLR 13:193-208

Decision Tree for Dynamic and Uncertain Data Streams

Chunquan Liang,  Yang Zhang,  Qun Song ; PMLR 13:209-224

Accurate Ensembles for Data Streams: Combining Restricted Hoeffding Trees using Stacking

Albert Bifet,  Eibe Frank,  Geoffrey Holmes,  Bernhard Pfahringer ; PMLR 13:225-240

Mining Recurring Concept Drifts with Limited Labeled Streaming Data

Peipei Li,  Xindong Wu,  Xuegang Hu ; PMLR 13:241-252

Hierarchical Convex NMF for Clustering Massive Data

Kristian Kersting,  Mirwaes Wahabzada,  Christian Thurau,  Christian Bauckhage ; PMLR 13:253-268

Multi-task Learning for Recommender System

Xia Ning,  George Karypis ; PMLR 13:269-284

Adaptive Step-size Policy Gradients with Average Reward Metric

Takamitsu Matsubara,  Tetsuro Morimura,  Jun Morimoto ; PMLR 13:285-298

Finite-sample Analysis of Bellman Residual Minimization

Odalric-Ambrym Maillard,  Remi Munos,  Alessandro Lazaric,  Mohammad Ghavamzadeh ; PMLR 13:299-314

A Study of Approximate Inference in Probabilistic Relational Models

Fabian Kaelin,  Doina Precup ; PMLR 13:315-330

Conceptual Imitation Learning: An Application to Human-robot Interaction

Hossein Hajimirsadeghi,  Majid Nili Ahmadabadi,  Mostafa Ajallooeian,  Babak Araabi,  Hadi Moradi ; PMLR 13:331-346

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