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Belief Functions

Belief Functions

Belief Functions
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Belief Functions Papeback - - 2012th Edition

by THIERRY DENOEUX

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Springer , pp. 456 . Papeback. New.
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Details

  • Title Belief Functions
  • Author THIERRY DENOEUX
  • Binding Papeback
  • Edition number 2012th
  • Edition 2012
  • Condition New
  • Pages 442
  • Language ENG
  • Publisher Springer
  • Publication date pp. 456
  • Features Illustrated
  • Bookseller's Inventory # 658578145
  • ISBN 9783642294600
  • Quantity available 4

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Reader reviews for Belief Functions

From the publisher

The theory of belief functions, also known as evidence theory or Dempster-Shafer theory, was first introduced by Arthur P. Dempster in the context of statistical inference, and was later developed by Glenn Shafer as a general framework for modeling epistemic uncertainty. These early contributions have been the starting points of many important developments, including the Transferable Belief Model and the Theory of Hints. The theory of belief functions is now well established as a general framework for reasoning with uncertainty, and has well understood connections to other frameworks such as probability, possibility and imprecise probability theories.

This volume contains the proceedings of the 2nd International Conference on Belief Functions that was held in Compigne, France on 9-11 May 2012. It gathers 51 contributions describing recent developments both on theoretical issues (including approximation methods, combination rules, continuous belief functions, graphical models and independence concepts) and applications in various areas including classification, image processing, statistics and intelligent vehicles.

From the rear cover

The theory of belief functions, also known as evidence theory or Dempster-Shafer theory, was first introduced by Arthur P. Dempster in the context of statistical inference, and was later developed by Glenn Shafer as a general framework for modeling epistemic uncertainty. These early contributions have been the starting points of many important developments, including the Transferable Belief Model and the Theory of Hints. The theory of belief functions is now well established as a general framework for reasoning with uncertainty, and has well understood connections to other frameworks such as probability, possibility and imprecise probability theories.

This volume contains the proceedings of the 2nd International Conference on Belief Functions that was held in Compigne, France on 9-11 May 2012. It gathers 51 contributions describing recent developments both on theoretical issues (including approximation methods, combination rules, continuous belief functions, graphical models and independence concepts) and applications in various areas including classification, image processing, statistics and intelligent vehicles.

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