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Probabilistic Graphical Models: Principles and Techniques (Adaptive Computation

Probabilistic Graphical Models: Principles and Techniques (Adaptive Computation and Machine Learning) Hardback - 2009

by Nir Friedman

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  • Hardcover

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Details

  • Title Probabilistic Graphical Models: Principles and Techniques (Adaptive Computation and Machine Learning)
  • Author Nir Friedman
  • Binding Hardback
  • Edition [ Edition: first
  • Condition Used - Very Good
  • Pages 1270
  • Volumes 1
  • Language ENG
  • Publisher MIT Press, Cambridge, MA, U.S.A.
  • Date 2009-07
  • Illustrated Yes
  • Features Bibliography, Illustrated, Index, Table of Contents
  • Bookseller's Inventory # GOR012964767
  • ISBN 9780262013192 / 0262013193
  • Weight 4.65 lbs (2.11 kg)
  • Dimensions 9.22 x 8.18 x 2.05 in (23.42 x 20.78 x 5.21 cm)
  • Ages 18 to UP years
  • Grade levels 13 - UP
  • Library of Congress subjects Bayesian statistical decision theory -, Graphical modeling (Statistics)
  • Library of Congress Catalog Number 2009008615
  • Dewey Decimal Code 519.542

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From the publisher

Includes bibliographical references and index.

About the author

Daphne Koller is Professor in the Department of Computer Science at Stanford University.

Nir Friedman is Professor in the Department of Computer Science and Engineering at Hebrew University.