The nature of statistical learning theory. Second Edition free download online
Title: The nature of statistical learning theory. Second Edition Author(s): Vladimir N. Vapnik Pages: 332 Publisher: Springer Verlag Publication date: 1999 Language: English Format: DJVU ISBN-10: 0387987800 ISBN-13: 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. These include: * the setting of learning problems based on the model of minimizing the risk functional from empirical data * a comprehensive analysis of the empirical risk minimization principle including necessary and sufficient conditions for its consistency * non-asymptotic bounds for the risk achieved using the empirical risk minimization principle * principles for controlling the generalization ability of learning machines using small sample sizes based on these bounds * the Support Vector methods that control the generalization ability when estimating function using small sample size. The sec
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Discusses the fundamental ideas that lie behind the statistical theory of learning and generalization. Considers learning as a general problem of function estimation based on empirical data. DLC: Computational learning theory.
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