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An elementary introduction to statistical learning theory /

"A joint endeavor from leading researchers in the fields of philosophy and electrical engineering An Introduction to Statistical Learning Theory provides a broad and accessible introduction to rapidly evolving field of statistical pattern recognition and statistical learning theory. Exploring t...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Kulkarni, Sanjeev
Otros Autores: Harman, Gilbert
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Hoboken, N.J. : Wiley, ©2011.
Colección:Wiley series in probability and statistics.
Temas:
Acceso en línea:Texto completo
Descripción
Sumario:"A joint endeavor from leading researchers in the fields of philosophy and electrical engineering An Introduction to Statistical Learning Theory provides a broad and accessible introduction to rapidly evolving field of statistical pattern recognition and statistical learning theory. Exploring topics that are not often covered in introductory level books on statistical learning theory, including PAC learning, VC dimension, and simplicity, the authors present upper-undergraduate and graduate levels with the basic theory behind contemporary machine learning and uniquely suggest it serves as an excellent framework for philosophical thinking about inductive inference"--Back cover.
Descripción Física:1 online resource (1 volume) : illustrations
Bibliografía:Includes bibliographical references and index.
ISBN:9781118023471
1118023471
9781118023433
1118023439
1283098687
9781283098687
9786613098689
661309868X