Belief Functions Theory and Applications is popular PDF and ePub book, written by Thierry Denoeux in 2012-04-26, it is a fantastic choice for those who relish reading online the Technology & Engineering genre. Let's immerse ourselves in this engaging Technology & Engineering book by exploring the summary and details provided below. Remember, Belief Functions Theory and Applications can be Read Online from any device for your convenience.
Belief Functions Theory and Applications Book PDF Summary
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 Compiègne, 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.
Detail Book of Belief Functions Theory and Applications PDF
- Author : Thierry Denoeux
- Release : 26 April 2012
- Publisher : Springer Science & Business Media
- ISBN : 9783642294617
- Genre : Technology & Engineering
- Total Page : 442 pages
- Language : English
- PDF File Size : 21,8 Mb
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