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The Nature of Statistical Learning Theory - V. N. Vapnik - Springer, 1999
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The Nature of Statistical Learning Theory - V. N. Vapnik - Springer, 1999 - nuovo livro

ISBN: 9780387987804

Di V. N. Vapnik. It considers learning as a general problem of function estimation based on empirical data. Written in a readable and concise style, the book is intended for statisticians… mais…

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International Edidition of ISBN: 9780387987804 - International Edition
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International Edidition of ISBN: 9780387987804 - Livro de bolso

ISBN: 0387987800

[EAN: 9780387987804], Gebraucht, guter Zustand, [PU: International Edition], International Edition. No supplemental materials. International Editions may have a different cover or ISBN bu… mais…

NOT NEW BOOK. Custos de envio: EUR 45.44 Campustexxts, Vicksburg, MI, U.S.A. [60291855] [Rating: 5 (von 5)]
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The Nature of Statistical Learning Theory (Information Science and Statistics) - Vapnik, Vladimir
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Vapnik, Vladimir:
The Nature of Statistical Learning Theory (Information Science and Statistics) - encadernada, livro de bolso

1999

ISBN: 9780387987804

Springer, Gebundene Ausgabe, Auflage: 2nd ed. 2000, 334 Seiten, Publiziert: 1999-11-19T00:00:01Z, Produktgruppe: Buch, Hersteller-Nr.: 06164364, 3.17 kg, Verkaufsrang: 1850649, Hardware &… mais…

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The Nature of Statistical Learning Theory (Information Science and Statistics) - Vapnik, Vladimir
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Vapnik, Vladimir:
The Nature of Statistical Learning Theory (Information Science and Statistics) - encadernada, livro de bolso

1999, ISBN: 9780387987804

Springer, Gebundene Ausgabe, Auflage: 2nd ed. 2000, 334 Seiten, Publiziert: 1999-11-19T00:00:01Z, Produktgruppe: Buch, Hersteller-Nr.: 06164364, 3.17 kg, Hardware & Technik, Computer & In… mais…

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The Nature of Statistical Learning Theory (Information Science and Statistics) - Vapnik, Vladimir
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Vapnik, Vladimir:
The Nature of Statistical Learning Theory (Information Science and Statistics) - encadernada, livro de bolso

1999, ISBN: 0387987800

[EAN: 9780387987804], Gebraucht, sehr guter Zustand, [PU: Springer], Books

NOT NEW BOOK. Custos de envio: EUR 27.27 Butterfly Books, San Clemente, CA, U.S.A. [84948329] [Rating: 5 (von 5)]

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The Nature of Statistical Learning Theory (Information Science and Statistics)

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.

Dados detalhados do livro - The Nature of Statistical Learning Theory (Information Science and Statistics)


EAN (ISBN-13): 9780387987804
ISBN (ISBN-10): 0387987800
Livro de capa dura
Livro de bolso
Ano de publicação: 2000
Editor/Editora: Springer
314 Páginas
Peso: 0,590 kg
Língua: eng/Englisch

Livro na base de dados desde 2007-06-03T04:22:50-03:00 (Sao Paulo)
Página de detalhes modificada pela última vez em 2023-08-08T04:50:44-03:00 (Sao Paulo)
Número ISBN/EAN: 9780387987804

Número ISBN - Ortografia alternativa:
0-387-98780-0, 978-0-387-98780-4
Ortografia alternativa e termos de pesquisa relacionados:
Autor do livro: vapnik, vladimir
Título do livro: engineering statistics, nature learning, the statistical, science information theory, nature 446, learning lea, information theory and statistics, theories nature


Dados da editora

Autor: Vladimir Vapnik
Título: Information Science and Statistics; The Nature of Statistical Learning Theory
Editora: Springer; Springer US
314 Páginas
Ano de publicação: 1999-11-19
New York; NY; US
Língua: Inglês
219,99 € (DE)

BB; Hardcover, Softcover / Mathematik/Wahrscheinlichkeitstheorie, Stochastik, Mathematische Statistik; Wahrscheinlichkeitsrechnung und Statistik; Verstehen; Conditional probability; Statistical Learning; Statistical Theory; cognition; control; learning; pattern recognition; statistics; Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences; Artificial Intelligence; Künstliche Intelligenz; BC

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.

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