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 (Technical University Munich), Thomas Stibor (Technical University Munich) ; 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 (Kyoto University), Akihiro Yamamoto (Kyoto University) ; PMLR 13:127-143

Single versus Multiple Sorting in All Pairs Similarity Search

Yasuo Tabei JST Minato ERATO Project, Takeaki Uno National Institute Japan, Masashi Sugiyama Tokyo Institute Technology, Koji Tsuda National Institute Advanced Industrial Science Technology ; 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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