 |
|
|
|
This single book has all you've
been looking for, doesn't it ?
|
by Balas K. Natarajan
List Price: $61.95
Our Price: $61.95
Living in UK? Get It Here!
Living in Deutschland? Get It Here!
Living in France? Get It Here!
|
|
|
Reviews
Book Description
This is the first comprehensive introduction to computational learning theory. The author's uniform presentation of fundamental results and their applications offers AI researchers a theoretical perspective on the problems they study. The book presents tools for the analysis of probabilistic models of learning, tools that crisply classify what is and is not efficiently learnable. After a general introduction to Valiant's PAC paradigm and the important notion of the Vapnik-Chervonenkis dimension, the author explores specific topics such as finite automata and neural networks. The presentation is intended for a broad audience, the author's ability to motivate and pace discussions for beginners has been praised by reviewers. Each chapter contains numerous examples and exercises, as well as a useful summary of important results. An excellent introduction to the area, and an important reference for AI researchers.
|
In Association with Amazon.com, Amazon.co.uk,
Amazon.de,
Amazon.fr
Copyright (c) by Eugene Kisly and Victor Kisly, 1999-2000
|
|
