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The Resource Density ratio estimation in machine learning, Masashi Sugiyama, Taiji Suzuki, Takafumi Kanamori

Density ratio estimation in machine learning, Masashi Sugiyama, Taiji Suzuki, Takafumi Kanamori

Label
Density ratio estimation in machine learning
Title
Density ratio estimation in machine learning
Statement of responsibility
Masashi Sugiyama, Taiji Suzuki, Takafumi Kanamori
Creator
Contributor
Subject
Language
eng
Cataloging source
DLC
http://library.link/vocab/creatorDate
1974-
http://library.link/vocab/creatorName
Sugiyama, Masashi
Illustrations
illustrations
Index
index present
Literary form
non fiction
Nature of contents
bibliography
http://library.link/vocab/relatedWorkOrContributorDate
  • 1981-
  • 1971-
http://library.link/vocab/relatedWorkOrContributorName
  • Suzuki, Taiji
  • Kanamori, Takafumi
http://library.link/vocab/subjectName
  • Estimation theory
  • Machine learning
Label
Density ratio estimation in machine learning, Masashi Sugiyama, Taiji Suzuki, Takafumi Kanamori
Instantiates
Publication
Bibliography note
Includes bibliographical references and index
Contents
Introduction -- Density estimation -- Moment matching -- Probabilistic classification -- Density fitting -- Density-ratio fitting -- Unified framework -- Direct density-ratio estimation with dimensionality reduction -- Importance sampling -- Distribution comparison -- Mutual information estimation --Conditional probability estimation -- Parametric convergence analysis -- Non-parametric convergence analysis -- Parametric two-sample test -- Non-parametric numerical stability analysis -- Conclusions and future directions
Control code
ocn757931191
Dimensions
23 cm
Extent
xii, 329 p.
Isbn
9780521190176
Isbn Type
(hardback)
Lccn
2011051726
Other physical details
ill.
System control number
(OCoLC)757931191
Label
Density ratio estimation in machine learning, Masashi Sugiyama, Taiji Suzuki, Takafumi Kanamori
Publication
Bibliography note
Includes bibliographical references and index
Contents
Introduction -- Density estimation -- Moment matching -- Probabilistic classification -- Density fitting -- Density-ratio fitting -- Unified framework -- Direct density-ratio estimation with dimensionality reduction -- Importance sampling -- Distribution comparison -- Mutual information estimation --Conditional probability estimation -- Parametric convergence analysis -- Non-parametric convergence analysis -- Parametric two-sample test -- Non-parametric numerical stability analysis -- Conclusions and future directions
Control code
ocn757931191
Dimensions
23 cm
Extent
xii, 329 p.
Isbn
9780521190176
Isbn Type
(hardback)
Lccn
2011051726
Other physical details
ill.
System control number
(OCoLC)757931191

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