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" Algorithmic learning in a random world / "
Vladimir Vovk, Alexander Gammerman, Glenn Shafer.
Document Type
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BL
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Record Number
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992123
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Doc. No
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b746493
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Main Entry
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Vovk, Vladimir,1960-
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Title & Author
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Algorithmic learning in a random world /\ Vladimir Vovk, Alexander Gammerman, Glenn Shafer.
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Publication Statement
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New York :: Springer,, ©2005.
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Page. NO
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1 online resource (xiv, 324 pages) :: illustrations
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ISBN
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0387001522
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: 0387250611
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: 661023521X
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: 9780387001524
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: 9780387250618
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: 9786610235216
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Bibliographies/Indexes
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Includes bibliographical references (pages 303-316) and index.
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Contents
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Introduction; Conformal prediction; Classification with conformal predictors; Modifications of conformal predictors; Probabilistic prediction I: impossibility results; Probabilistic prediction II: Venn predictors; Beyond exchangeability; On-line compression modeling I: conformal prediction; On-line compression modeling II: Venn prediction; Perspectives and contrasts.
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Abstract
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This scientific monograph develops significant new algorithmic foundations in machine learning theory. Researchers and postgraduates in CS, statistics, and A.I. should find the book an authoritative and formal presentation of some of the most promising theoretical developments in machine learning.
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Subject
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Algorithms.
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Subject
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Prediction theory.
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Subject
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Stochastic processes.
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Subject
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Algorithmes.
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Subject
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Prévision, Théorie de la.
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Subject
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Processus stochastiques.
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Subject
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Algorithms.
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Subject
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Informatique.
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Subject
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Prediction theory.
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Subject
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Stochastic processes.
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Dewey Classification
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519.2/87
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LC Classification
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QA279.2.V68 2005
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NLM classification
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QA279.2.V68 2005
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Added Entry
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Gammerman, A., (Alexander)
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Shafer, Glenn,1946-
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