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.
| ISBN: | 9783540335849 |
| Publication date: | 18th April 2006 |
| Author: | International Conference on Machine Learning and Cybernetics, Daniel S Yeung |
| Publisher: | Springer an imprint of Springer Berlin Heidelberg |
| Format: | Paperback |
| Pagination: | 1110 pages |
| Series: | Lecture Notes in Computer Science. Lecture Notes in Artificial Intelligence |
| Genres: |
Artificial intelligence Computer vision Algorithms and data structures Mathematical theory of computation Databases |
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.
Advances in Machine Learning and Cybernetics features in the following genres: Artificial intelligence, Computer vision, Algorithms and data structures, Mathematical theory of computation, Databases
Paperback. Not Available.
Advances in Machine Learning and Cybernetics was written by International Conference on Machine Learning and Cybernetics, Daniel S Yeung and published by Springer an imprint of Springer Berlin Heidelberg
Advances in Machine Learning and Cybernetics has 1,110 pages
Yes it is part of Lecture Notes in Computer Science. Lecture Notes in Artificial Intelligence series