Innovations in Machine Learning
Author | : Dawn E. Holmes |
Publisher | : Springer Science & Business Media |
Total Pages | : 285 |
Release | : 2006-03-09 |
ISBN-10 | : 9783540306092 |
ISBN-13 | : 3540306099 |
Rating | : 4/5 (099 Downloads) |
Download or read book Innovations in Machine Learning written by Dawn E. Holmes and published by Springer Science & Business Media. This book was released on 2006-03-09 with total page 285 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine learning is currently one of the most rapidly growing areas of research in computer science. In compiling this volume we have brought together contributions from some of the most prestigious researchers in this field. This book covers the three main learning systems; symbolic learning, neural networks and genetic algorithms as well as providing a tutorial on learning casual influences. Each of the nine chapters is self-contained. Both theoreticians and application scientists/engineers in the broad area of artificial intelligence will find this volume valuable. It also provides a useful sourcebook for Postgraduate since it shows the direction of current research.