Boosting : Foundations and Algorithms (Record no. 74517)

MARC details
000 -LEADER
fixed length control field 02862naaaa2200313uu 4500
001 - CONTROL NUMBER
control field https://directory.doabooks.org/handle/20.500.12854/77893
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20220220075559.0
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9780262301183
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9780262017183
041 0# - LANGUAGE CODE
Language code of text/sound track or separate title English
042 ## - AUTHENTICATION CODE
Authentication code dc
072 #7 - SUBJECT CATEGORY CODE
Subject category code UMB
Source bicssc
072 #7 - SUBJECT CATEGORY CODE
Subject category code UYQM
Source bicssc
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Schapire, Robert E.
Relationship auth
245 10 - TITLE STATEMENT
Title Boosting : Foundations and Algorithms
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Cambridge
Name of publisher, distributor, etc. The MIT Press
Date of publication, distribution, etc. 2012
300 ## - PHYSICAL DESCRIPTION
Extent 1 electronic resource (544 p.)
506 0# - RESTRICTIONS ON ACCESS NOTE
Terms governing access Open Access
Source of term star
Standardized terminology for access restriction Unrestricted online access
520 ## - SUMMARY, ETC.
Summary, etc. An accessible introduction and essential reference for an approach to machine learning that creates highly accurate prediction rules by combining many weak and inaccurate ones. Boosting is an approach to machine learning based on the idea of creating a highly accurate predictor by combining many weak and inaccurate “rules of thumb.” 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. The book begins with a general introduction to machine learning algorithms and their analysis; then explores the core theory of boosting, especially its ability to generalize; examines some of the myriad other theoretical viewpoints that help to explain and understand boosting; provides practical extensions of boosting for more complex learning problems; and finally presents a number of advanced theoretical topics. Numerous applications and practical illustrations are offered throughout.
540 ## - TERMS GOVERNING USE AND REPRODUCTION NOTE
Terms governing use and reproduction Creative Commons
Use and reproduction rights by-nc-nd/4.0
Source of term cc
-- http://creativecommons.org/licenses/by-nc-nd/4.0
546 ## - LANGUAGE NOTE
Language note English
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Algorithms & data structures
Source of heading or term bicssc
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Machine learning
Source of heading or term bicssc
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term Artificial intelligence
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term Algorithms and data structures
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Freund, Yoav
Relationship auth
856 40 - ELECTRONIC LOCATION AND ACCESS
Host name www.oapen.org
Uniform Resource Identifier <a href="http://mitpress.mit.edu/9780262017183">http://mitpress.mit.edu/9780262017183</a>
Access status 0
Public note DOAB: download the publication
856 40 - ELECTRONIC LOCATION AND ACCESS
Host name www.oapen.org
Uniform Resource Identifier <a href="https://directory.doabooks.org/handle/20.500.12854/77893">https://directory.doabooks.org/handle/20.500.12854/77893</a>
Access status 0
Public note DOAB: description of the publication

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