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Springer - The Nature of Statistical Learning Theory Book

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Description

Explore the fundamental ideas behind the statistical theory of learning and generalization in this academic text from Springer. This book approaches learning as a general problem of function estimation based on empirical data. By omitting heavy proofs and technical details, the author focuses on the main results of learning theory and their connections to fundamental problems in statistics. Readers will gain insight into the setting of learning problems based on the model of minimizing the risk functional from empirical data. The text also provides a comprehensive analysis of the empirical risk minimization principle, making it a valuable resource for those studying information science and statistics.

Key Features

This Springer publication discusses the fundamental ideas behind the statistical theory of learning and generalization.

The text treats learning as a general problem of function estimation using empirical data.

The author focuses on discussing main results of learning theory while omitting complex proofs and technical details.

Content includes a comprehensive analysis of the empirical risk minimization principle.

The book explores the setting of learning problems based on minimizing the risk functional from empirical data.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
19 November 1999
Listed Since
12 February 2007

Barcode

No barcode data available

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