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The Resource Conformal prediction for reliable machine learning : theory, adaptations, and applications, edited by Vineeth Balasubramanian, Shen-Shyang Ho, Vladimir Vovk, (electronic book)

Conformal prediction for reliable machine learning : theory, adaptations, and applications, edited by Vineeth Balasubramanian, Shen-Shyang Ho, Vladimir Vovk, (electronic book)

Label
Conformal prediction for reliable machine learning : theory, adaptations, and applications
Title
Conformal prediction for reliable machine learning
Title remainder
theory, adaptations, and applications
Statement of responsibility
edited by Vineeth Balasubramanian, Shen-Shyang Ho, Vladimir Vovk
Contributor
Editor
Subject
Language
eng
Summary
"Traditional, low-dimensional, small scale data have been successfully dealt with using conventional software engineering and classical statistical methods, such as discriminant analysis, neural networks, genetic algorithms and others. But the change of scale in data collection and the dimensionality of modern data sets has profound implications on the type of analysis that can be done. Recently several kernel-based machine learning algorithms have been developed for dealing with high-dimensional problems, where a large number of features could cause a combinatorial explosion. These methods are quickly gaining popularity, and it is widely believed that they will help to meet the challenge of analysing very large data sets. Learning machines often perform well in a wide range of applications and have nice theoretical properties without requiring any parametric statistical assumption about the source of data (unlike traditional statistical techniques). However, a typical drawback of many machine learning algorithms is that they usually do not provide any useful measure of con dence in the predicted labels of new, unclassi ed examples. Con dence estimation is a well-studied area of both parametric and non-parametric statistics; however, usually only low-dimensional problems are considered"--
Assigning source
Provided by publisher
Cataloging source
IDEBK
Dewey number
006.3/1
Index
index present
LC call number
Q325.5
LC item number
C668 2014eb
Literary form
non fiction
Nature of contents
  • dictionaries
  • bibliography
http://library.link/vocab/relatedWorkOrContributorDate
1960-
http://library.link/vocab/relatedWorkOrContributorName
  • Balasubramanian, Vineeth
  • Ho, Shen-Shyang
  • Vovk, Vladimir
http://library.link/vocab/subjectName
Machine learning
Label
Conformal prediction for reliable machine learning : theory, adaptations, and applications, edited by Vineeth Balasubramanian, Shen-Shyang Ho, Vladimir Vovk, (electronic book)
Instantiates
Publication
Antecedent source
unknown
Bibliography note
Includes bibliographical references and index
Color
multicolored
Control code
SCIDI878922864
Dimensions
unknown
Extent
1 online resource
File format
unknown
Form of item
online
Isbn
9780124017153
Level of compression
unknown
Quality assurance targets
not applicable
Reformatting quality
unknown
Sound
unknown sound
Specific material designation
remote
Label
Conformal prediction for reliable machine learning : theory, adaptations, and applications, edited by Vineeth Balasubramanian, Shen-Shyang Ho, Vladimir Vovk, (electronic book)
Publication
Antecedent source
unknown
Bibliography note
Includes bibliographical references and index
Color
multicolored
Control code
SCIDI878922864
Dimensions
unknown
Extent
1 online resource
File format
unknown
Form of item
online
Isbn
9780124017153
Level of compression
unknown
Quality assurance targets
not applicable
Reformatting quality
unknown
Sound
unknown sound
Specific material designation
remote

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