Advances in Machine Learning and Cybernetics : 4th International Conference, Icmlc 2005, Guangzhou, China, August 18-21, 2005, Revised Selected Papers

Yeung, Daniel S. (EDT)/ Liu, Zhi-Qiang (EDT)/ Wang, Xi-zhao (EDT)/ Yan

Springer-Verlag New York Inc（2006/05発売）

• 製本 Paperback:紙装版/ペーパーバック版／ページ数 1110 p.
• 言語 ENG
• 商品コード 9783540335849
• DDC分類 004

基本説明

Subseries: Lecture Notes in Artificial Intelligence.

Full Description

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.

Contents

Agents and Distributed AI.- Intelligent Control (I).- Intelligent Control (II).- Data Mining and Knowledge Discovery (I).- Data Mining and Knowledge Discovery (II).- Data Mining and Knowledge Discovery (III).- Fuzzy Information Processing (I).- Fuzzy Information Processing (II).- Learning and Reasoning (I).- Learning and Reasoning (II).- Learning and Reasoning (III).- Machine Learning Applications (I).- Machine Learning Applications (II).- Machine Learning Applications (III).- Neural Networks and Statistical Learning Methods (I).- Neural Networks and Statistical Learning Methods (II).- Neural Networks and Statistical Learning Methods (III).- Neural Networks and Statistical Learning Methods (IV).- Pattern Recognition (I).- Pattern Recognition (II).- Vision and Image Processing (I).- Vision and Image Processing (II).