Coverart for item
The Resource Boosting : foundations and algorithms, Robert E. Schapire and Yoav Freund

Boosting : foundations and algorithms, Robert E. Schapire and Yoav Freund

Label
Boosting : foundations and algorithms
Title
Boosting
Title remainder
foundations and algorithms
Statement of responsibility
Robert E. Schapire and Yoav Freund
Creator
Contributor
Subject
Genre
Language
eng
Summary
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. --
Member of
Assigning source
Edited summary from book
Cataloging source
N$T
Dewey number
006.3/1
Illustrations
illustrations
Index
index present
LC call number
Q325.75
LC item number
.S33 2012eb
Literary form
non fiction
Nature of contents
  • dictionaries
  • bibliography
Series statement
Adaptive computation and machine learning
Label
Boosting : foundations and algorithms, Robert E. Schapire and Yoav Freund
Link
Instantiates
Publication
Antecedent source
unknown
Bibliography note
Includes bibliographical references and index
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
Foundations of machine learning -- Using AdaBoost to minimize training error -- Direct bounds on the generalization error -- The margins explanation for boosting's effectiveness -- Game theory, online learning, and boosting -- Loss minimization and generalizations of boosting -- Boosting, convex optimization, and information geometry -- Using confidence-rated weak predictions -- Multiclass classification problems -- Learning to rank -- Attaining the best possible accuracy -- Optimally efficient boosting -- Boosting in continuous time
Control code
ocn794669892
Dimensions
unknown
Extent
1 online resource (xv, 526 pages)
File format
unknown
Form of item
online
Isbn
9780262301183
Level of compression
unknown
Media category
computer
Media MARC source
rdamedia
Media type code
c
Other control number
9786613655288
Other physical details
illustrations.
Quality assurance targets
not applicable
Reformatting quality
unknown
Sound
unknown sound
Specific material designation
remote
Stock number
365528
System control number
(OCoLC)794669892
Label
Boosting : foundations and algorithms, Robert E. Schapire and Yoav Freund
Link
Publication
Antecedent source
unknown
Bibliography note
Includes bibliographical references and index
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
Foundations of machine learning -- Using AdaBoost to minimize training error -- Direct bounds on the generalization error -- The margins explanation for boosting's effectiveness -- Game theory, online learning, and boosting -- Loss minimization and generalizations of boosting -- Boosting, convex optimization, and information geometry -- Using confidence-rated weak predictions -- Multiclass classification problems -- Learning to rank -- Attaining the best possible accuracy -- Optimally efficient boosting -- Boosting in continuous time
Control code
ocn794669892
Dimensions
unknown
Extent
1 online resource (xv, 526 pages)
File format
unknown
Form of item
online
Isbn
9780262301183
Level of compression
unknown
Media category
computer
Media MARC source
rdamedia
Media type code
c
Other control number
9786613655288
Other physical details
illustrations.
Quality assurance targets
not applicable
Reformatting quality
unknown
Sound
unknown sound
Specific material designation
remote
Stock number
365528
System control number
(OCoLC)794669892

Library Locations

    • Waubonsee: Sugar Grove Campus - Todd LibraryBorrow it
      Collins Hall 2nd Floor Waubonsee Community College Route 47 at Waubonsee Drive, Sugar Grove, IL, 60554-9454, US
      41.7974 -88.45785
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