The Nature of Statistical Learning Theory By Vladimir Naumovich Vapnik ISBN: 9780387945590 UPC: 000387945598 Published: 1998 Number of Pages: 188 Edition: 1st Binding: Hardcover

Pricing & Availability: Additional Details: Product Type: Book Publisher: Springer 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 from the general point of view 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 general setting of learning problems and the general model of minimizing the risk functional from empirical data - a comprehensive analysis of the empirical risk minimization principle and shows how this allows for the construction of necessary and sufficient conditions for 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 - introducing a new type of universal learning machine that controls the generalization ability.

Library of Congress Control Number
   - LC control Number:  95024205
   - LC control Number:  95024205 //r96
   - LC control Number: 95024205

International Standard Book Number: 0387945598 (New York : alk. paper): 0387945598 :

Level of Bibliographic Control and Coding Detail: ut/ut(ut)

Library of Congress Call Number
   - Classification number: Q325.7
   - Item number: .V37 1995

Dewey Decimal Classification Number
   - Edition number:  20
   - Edition number: 20
   - Classification number: 006.3/1/015195

Main Entry - Personal Name
   - Personal name: Vapnik, Vladimir Naumovich.

Title Statement
   - Title: The nature of statistical learning theory /
   - Statement of responsibility, etc.: Vladimir N. Vapnik.

Publication, Distribution, etc. (Imprint)
   - Place of publication, distribution, etc.: London :
   - Place of publication, distribution, etc.: New York :
   - Place of publication, distribution, etc.: New York ;
   - Name of publisher, distribution, etc.: Springer,
   - Date of publication, distribution, etc.: c1995.

Physical Description
   - Extent: xv, 188 p. :
   - Extent: xv, 188p. :
   - Other physical details: ill. ;
   - Dimensions: 25 cm.

Bibliography, etc. Note
   - Bibliography: Includes bibliographical references (p. (177)-184) and index.
   - Bibliography: Includes bibliographical references (p. [177]-184) and index.
   - Bibliography: Includes bibliographical references and index.

Subject Added Entry - Topical Term
   - Topical term or geographic name entry element: Computational learning theory.
   - Topical term or geographic name entry element: Reasoning.