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Cover: 9780387987804 | The Nature of Statistical Learning Theory | V. N. Vapnik | Buch | xx
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The Nature of Statistical Learning Theory
Buch von V. N. Vapnik
Sprache: Englisch

191,95 €*

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Beschreibung
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.
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.
Zusammenfassung
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.
Inhaltsverzeichnis
Introduction: Four Periods in the Research of the Learning Problem.- 1 Setting of the Learning Problem.- 2 Consistency of Learning Processes.- 3 Bounds on the Rate of Convergence of Learning Processes.- 4 Controlling the Generalization Ability of Learning Processes.- 5 Methods of Pattern Recognition.- 6 Methods of Function Estimation.- 7 Direct Methods in Statistical Learning Theory.- 8 The Vicinal Risk Minimization Principle and the SVMs.- 9 Conclusion: What Is Important in Learning Theory?.- References.- Remarks on References.- References.
Details
Erscheinungsjahr: 1999
Fachbereich: Wahrscheinlichkeitstheorie
Genre: Mathematik
Rubrik: Naturwissenschaften & Technik
Medium: Buch
Reihe: Information Science and Statistics
Inhalt: xx
314 S.
50 Illustr.
ISBN-13: 9780387987804
ISBN-10: 0387987800
Sprache: Englisch
Einband: Gebunden
Autor: Vapnik, V. N.
Auflage: 2nd ed.
Hersteller: Springer-Verlag GmbH
Springer US, New York, N.Y.
Abbildungen: 50 Abb.
Maße: 243 x 166 x 30 mm
Von/Mit: V. N. Vapnik
Erscheinungsdatum: 19.11.1999
Gewicht: 0,654 kg
Artikel-ID: 102588474
Zusammenfassung
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.
Inhaltsverzeichnis
Introduction: Four Periods in the Research of the Learning Problem.- 1 Setting of the Learning Problem.- 2 Consistency of Learning Processes.- 3 Bounds on the Rate of Convergence of Learning Processes.- 4 Controlling the Generalization Ability of Learning Processes.- 5 Methods of Pattern Recognition.- 6 Methods of Function Estimation.- 7 Direct Methods in Statistical Learning Theory.- 8 The Vicinal Risk Minimization Principle and the SVMs.- 9 Conclusion: What Is Important in Learning Theory?.- References.- Remarks on References.- References.
Details
Erscheinungsjahr: 1999
Fachbereich: Wahrscheinlichkeitstheorie
Genre: Mathematik
Rubrik: Naturwissenschaften & Technik
Medium: Buch
Reihe: Information Science and Statistics
Inhalt: xx
314 S.
50 Illustr.
ISBN-13: 9780387987804
ISBN-10: 0387987800
Sprache: Englisch
Einband: Gebunden
Autor: Vapnik, V. N.
Auflage: 2nd ed.
Hersteller: Springer-Verlag GmbH
Springer US, New York, N.Y.
Abbildungen: 50 Abb.
Maße: 243 x 166 x 30 mm
Von/Mit: V. N. Vapnik
Erscheinungsdatum: 19.11.1999
Gewicht: 0,654 kg
Artikel-ID: 102588474
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