The RISC-V Reader
The Science of Programming
The art of computer programming. 4A : Part 1. Combinatorial algorithms : [the classic work extended and refined]
Theoretische Informatik
Tracking and Data Fusion
Trees, Maps, and Theorems
The Nature of Statistical Learning Theory
description
The aim of this book is to discuss the fundamental ideas which lie behind the statistical theory of learning and generalization. It considers learning as a general problem of function estimation based on empirical data. Omitting proofs and technical details, the author concentrates on discussing the main results of learning theory and their connections to fundamental problems in statistics. This second edition contains three new chapters devoted to further development of the learning theory and SVM techniques. Written in a readable and concise style, the book is intended for statisticians, mathematicians, physicists, and computer scientists.
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pages
340
Year published
1999
Publisher
Springer Science & Business Media
Issn
0-387-98780-0
Language
en
categories
id
I.5.1 VAP99