Belief functions: theory and applications: proceedings of the 2nd International Conference on Belief Functions, Compiègne, France 9-11 May 2012
edited by Thierry Denoeux and Marie-Helene Masson (Springer, 2012)
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| 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. |
 Belief Functions- Theory and Applications, Thierry Den?ux and Marie-H?l?ne Masson (Eds.) 2012.pdf :: Unduh |
| No. Panggil : | e20395170 |
| Entri tambahan-Nama orang : | |
| Subjek : | |
| Penerbitan : | Berlin: Springer, 2012 |
| Sumber Pengatalogan: | LibUI eng rda |
| Tipe Konten: | text |
| Tipe Media: | computer |
| Tipe Pembawa: | online resource |
| Deskripsi Fisik: | xi, 177 pages : illustration |
| Tautan: | http://link.springer.com/book/10.1007/978-3-642-29461-7 |
| Lembaga Pemilik: | |
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| No. Panggil | No. Barkod | Ketersediaan |
|---|---|---|
| e20395170 | 20-23-79661315 | TERSEDIA |
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| Tidak ada ulasan pada koleksi ini: 20395170 |
