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Advances in Machine Learning

First Asian Conference on Machine Learning, ACML 2009, Nanjing, China, November 2-4, 2009. Proceedings

  • Conference proceedings
  • © 2009

Overview

Editors:
  1. Zhi-Hua Zhou

    1. National Laboratory for Novel Software Technology, Nanjing University, Nanjing, China

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  2. Takashi Washio

    1. The Institute of Scientific and Industrial Research, Osaka University, Osaka, Japan

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    You can also search for this editor in PubMed   Google Scholar

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 5828)

Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)

Included in the following conference series:

Conference proceedings info: ACML 2009.

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About this book

The First Asian Conference on Machine Learning (ACML 2009) was held at Nanjing, China during November 2–4, 2009.This was the ?rst edition of a series of annual conferences which aim to provide a leading international forum for researchers in machine learning and related ?elds to share their new ideas and research ?ndings. This year we received 113 submissions from 18 countries and regions in Asia, Australasia, Europe and North America. The submissions went through a r- orous double-blind reviewing process. Most submissions received four reviews, a few submissions received ?ve reviews, while only several submissions received three reviews. Each submission was handled by an Area Chair who coordinated discussions among reviewers and made recommendation on the submission. The Program Committee Chairs examined the reviews and meta-reviews to further guarantee the reliability and integrity of the reviewing process. Twenty-nine - pers were selected after this process. To ensure that important revisions required by reviewers were incorporated into the ?nal accepted papers, and to allow submissions which would have - tential after a careful revision, this year we launched a “revision double-check” process. In short, the above-mentioned 29 papers were conditionally accepted, and the authors were requested to incorporate the “important-and-must”re- sionssummarizedbyareachairsbasedonreviewers’comments.Therevised?nal version and the revision list of each conditionally accepted paper was examined by the Area Chair and Program Committee Chairs. Papers that failed to pass the examination were ?nally rejected.

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Table of contents (30 papers)

  1. Front Matter

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  3. Regular Papers

    1. Improving Adaptive Bagging Methods for Evolving Data Streams

      • Albert Bifet, Geoff Holmes, Bernhard Pfahringer, Ricard Gavaldà
      Pages 23-37

    2. A Hierarchical Face Recognition Algorithm

      • Remco R. Bouckaert
      Pages 38-50

    3. Estimating Likelihoods for Topic Models

      • Wray Buntine
      Pages 51-64

    4. Conditional Density Estimation with Class Probability Estimators

      • Eibe Frank, Remco R. Bouckaert
      Pages 65-81

    5. Linear Time Model Selection for Mixture of Heterogeneous Components

      • Ryohei Fujimaki, Satoshi Morinaga, Michinari Momma, Kenji Aoki, Takayuki Nakata
      Pages 82-97

    6. Max-margin Multiple-Instance Learning via Semidefinite Programming

      • Yuhong Guo
      Pages 98-108

    7. A Reformulation of Support Vector Machines for General Confidence Functions

      • Yuhong Guo, Dale Schuurmans
      Pages 109-119

    8. Robust Discriminant Analysis Based on Nonparametric Maximum Entropy

      • Ran He, Bao-Gang Hu, Xiao-Tong Yuan
      Pages 120-134

    9. Context-Aware Online Commercial Intention Detection

      • Derek Hao Hu, Dou Shen, Jian-Tao Sun, Qiang Yang, Zheng Chen
      Pages 135-149

    10. Feature Selection via Maximizing Neighborhood Soft Margin

      • Qinghua Hu, Xunjian Che, Jinfu Liu
      Pages 150-161

    11. Accurate Probabilistic Error Bound for Eigenvalues of Kernel Matrix

      • Lei Jia, Shizhong Liao
      Pages 162-175

    12. Community Detection on Weighted Networks: A Variational Bayesian Method

      • Qixia Jiang, Yan Zhang, Maosong Sun
      Pages 176-190

    13. Averaged Naive Bayes Trees: A New Extension of AODE

      • Mori Kurokawa, Hiroyuki Yokoyama, Akito Sakurai
      Pages 191-205

    14. Automatic Choice of Control Measurements

      • Gayle Leen, David R. Hardoon, Samuel Kaski
      Pages 206-219

    15. Coupled Metric Learning for Face Recognition with Degraded Images

      • Bo Li, Hong Chang, Shiguang Shan, Xilin Chen
      Pages 220-233

    16. Cost-Sensitive Boosting: Fitting an Additive Asymmetric Logistic Regression Model

      • Qiu-jie Li, Yao-bin Mao, Zhi-quan Wang, Wen-bo Xiang
      Pages 234-247
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Other volumes

  1. Advances in Machine Learning

Editors and Affiliations

  • National Laboratory for Novel Software Technology, Nanjing University, Nanjing, China

    Zhi-Hua Zhou

  • The Institute of Scientific and Industrial Research, Osaka University, Osaka, Japan

    Takashi Washio

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