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Boosting: Foundations and Algorithms

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A remarkably rich theory has evolved around boosting, with connections to a range of topics including statistics, game theory, convex optimization, and information geometry. Boosting algorithms have also enjoyed practical success in such fields as biology, vision, and speech processing. At various times in its history, boosting has been perceived as mysterious, controversial, even paradoxical. This book, written by the inventors of the method, brings together, organizes, simplifies, and substantially extends two decades of research on boosting, presenting both theory and applications in a way that is accessible to readers from diverse backgrounds while also providing an authoritative reference for advanced researchers. With its introductory treatment of all material and its inclusion of exercises in every chapter, the book is appropriate for course use as well. --OCLC-licensed vendor bibliographic record.

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Detail Information

Series Title

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Call Number

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Publisher

Cambridge, Massachusetts : The MIT Press., 2012

Collation

1 online resource (xv, 526 pages) :illustrations

Language

English

ISBN/ISSN

9780262301183

Classification

NONE

Content Type

text

Media Type

computer

Carrier Type

online resource

Edition

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Subject(s)

Supervised learning (Machine learning)
Boosting (Algorithms)

Specific Detail Info

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Statement of Responsibility

Robert E. Schapire and Yoav Freund.

Other Information

Cataloger

Jemadi

Source

https://direct.mit.edu/books/oa-monograph/5342/BoostingFoundations-and-Algorithms

Validator

Jemadi

Digital Object Identifier (DOI)

DOI: https://doi.org/10.7551/mitpress/8291.001.0001

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