Advances in Machine Learning and Cybernetics

4th International Conference, ICMLC 2005, Guangzhou, China, August 18-21, 2005, Revised Selected Papers

  • Daniel S. Yeung
  • Zhi-Qiang Liu
  • Xi-Zhao Wang
  • Hong Yan

Part of the Lecture Notes in Computer Science book series (LNCS, volume 3930)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 3930)

Table of contents

  1. Front Matter
  2. Agents and Distributed AI

    1. Li Xu, Wen-Xiang Gu, Xin-Mei Zhang
      Pages 1-10
    2. Xiang Chen, Shan-li Hu
      Pages 21-29
    3. Jiayu Chi, Ling Sun, Xueguang Chen, Jinlong Zhang
      Pages 43-52
    4. Mukun Cao, Yuqiang Feng, Yan Li, Chunyan Wang
      Pages 53-63
  3. Intelligent Control (I)

    1. Wei Xiong, You He, Jing-wei Zhang
      Pages 64-69
    2. Junfeng Tian, Yuling Liu, Xiaohui Yang, Ruizhong Du
      Pages 70-80
    3. Yong Jiang, Hongguang Wang, Lijin Fang, Mingyang Zhao
      Pages 91-100
  4. Intelligent Control (II)

  5. Data Mining and Knowledge Discovery (I)

    1. Jian-qiang Li, Cheng-lin Niu, Ji-zhen Liu, Luan-ying Zhang
      Pages 149-158
    2. Min Gan, Mingyi Zhang, Shenwen Wang
      Pages 159-168
    3. Ling Chen, Li Tu, Yixin Chen
      Pages 169-178

About these proceedings

Introduction

Machine learning and cybernetics play an important role in many modern electronic, computer and communications systems. Automated processing of information by these systems requires intelligent analysis of various types of data and optimal decision making. In recent years, we have witnessed a rapid expansion of research and development activities in machine learning and cybernetics. To provide opportunities for researchers in these areas to share their ideas and foster collaborations, the International Conference on Machines and Cybernetics (ICMLC) has been held annually since 2002. The conference series has achieved a great success in attracting a large number of paper submissions and participants and enabling fruitful exchanges among academic and industrial researchers and postgraduate students. In 2005, the conference (ICMLC 2005) received 2461 full paper submissions and the Program Committee selected 1050 of them for presentation. It is especially encouraging that the conference is attracting more and more international attention. This year, there are contributions from 21 countries and 211 universities worldwide. Out of the 1050 papers presented at the conference, we selected 114 papers to be published in this volume of Lecture Notes in Computer Science.

Keywords

artificial intelligence data mining fuzzy image processing intelligence knowledge discovery learning machine learning

Editors and affiliations

  • Daniel S. Yeung
    • 1
  • Zhi-Qiang Liu
    • 2
  • Xi-Zhao Wang
    • 3
  • Hong Yan
    • 4
  1. 1.Department of ComputingHong Kong Polytechnic UniversityHong KongChina
  2. 2.School of Creative MediaCity University of Hong Kong,China
  3. 3.Department of Mathematics and Computer ScienceHebei UniversityBaodingP.R. China
  4. 4.School of Electrical and Information EngineeringUniversity of SydneyAustralia

Bibliographic information

  • DOI https://doi.org/10.1007/11739685
  • Copyright Information Springer-Verlag Berlin Heidelberg 2006
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-540-33584-9
  • Online ISBN 978-3-540-33585-6
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book