The aim of this book is to discuss the fundamental ideas which lie behind the statistical theory of learning and generalization. Written in readable and concise style and devoted to key learning problems, the book is intended for statisticians, mathematicians, physicists, and computer scientists.
| Author: Vladimir Vapnik |
| Publisher: Springer |
| Publication Date: Dec 01, 2010 |
| Number of Pages: 314 pages |
| Binding: Paperback or Softback |
| ISBN-10: 1441931600 |
| ISBN-13: 9781441931603 |
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