Advances in Machine Learning

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

  • Zhi-Hua Zhou
  • Takashi Washio

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

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 5828)

Table of contents

  1. Front Matter
  2. Keynote and Invited Talks

  3. Regular Papers

    1. Albert Bifet, Geoff Holmes, Bernhard Pfahringer, Ricard Gavaldà
      Pages 23-37
    2. Remco R. Bouckaert
      Pages 38-50
    3. Wray Buntine
      Pages 51-64
    4. Eibe Frank, Remco R. Bouckaert
      Pages 65-81
    5. Ryohei Fujimaki, Satoshi Morinaga, Michinari Momma, Kenji Aoki, Takayuki Nakata
      Pages 82-97
    6. Ran He, Bao-Gang Hu, Xiao-Tong Yuan
      Pages 120-134
    7. Derek Hao Hu, Dou Shen, Jian-Tao Sun, Qiang Yang, Zheng Chen
      Pages 135-149
    8. Qinghua Hu, Xunjian Che, Jinfu Liu
      Pages 150-161
    9. Qixia Jiang, Yan Zhang, Maosong Sun
      Pages 176-190
    10. Mori Kurokawa, Hiroyuki Yokoyama, Akito Sakurai
      Pages 191-205
    11. Gayle Leen, David R. Hardoon, Samuel Kaski
      Pages 206-219
    12. Bo Li, Hong Chang, Shiguang Shan, Xilin Chen
      Pages 220-233
    13. Qiu-jie Li, Yao-bin Mao, Zhi-quan Wang, Wen-bo Xiang
      Pages 234-247

About these proceedings

Introduction

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.

Keywords

Diffusion Support Vector Machine active learning algorithms artificial intelligence bayesian methods bootstrap aggregating classification data analysis information retrieval machine learning metric learning multi-agent learning natural language processing pattern maching

Editors and affiliations

  • Zhi-Hua Zhou
    • 1
  • Takashi Washio
    • 2
  1. 1.National Laboratory for Novel Software TechnologyNanjing UniversityNanjingChina
  2. 2.The Institute of Scientific and Industrial ResearchOsaka UniversityOsakaJapan

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-05224-8
  • Copyright Information Springer-Verlag Berlin Heidelberg 2009
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-642-05223-1
  • Online ISBN 978-3-642-05224-8
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book