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[ED: Softcover], [PU: Springer / Springer Berlin Heidelberg / Springer, Berlin], The theory of belief functions, also known as evidence theory or Dempster-Shafer theory, was first introdu… Mehr…
Masson, Marie-Hélène (Herausgeber); Denoeux, Thierry (Herausgeber):
Belief Functions: Theory and Applications Proceedings of the 2nd International Conference on Belief Functions, Compiègne, France 9-11 May 2012 - neues Buch2012, ISBN: 364229460X
2012 Kartoniert / Broschiert Intelligenz / Künstliche Intelligenz, KI, Künstliche Intelligenz - AI, BeliefFunctions; Intelligentcomputing, mit Schutzumschlag 11, [PU:Springer Berlin Hei… Mehr…
Belief Functions: Theory and Applications Proceedings of the 2nd International Conference on Belief Functions, Compiègne, France 9-11 May 2012 - gebrauchtes Buch
2012
ISBN: 9783642294600
[PU: Springer Berlin], Buchschnitt verkürzt - gepflegter, sauberer Zustand - Ausgabejahr 2012 12262694/12, DE, [SC: 0.00], gebraucht; sehr gut, gewerbliches Angebot, 2012, Banküberweisung… Mehr…
Belief Functions: Theory and Applications Proceedings of the 2nd International Conference on Belief Functions, Compiègne, France 9-11 May 2012 2012 - gebrauchtes Buch
2012, ISBN: 9783642294600
2012 Buchschnitt verkürzt - gepflegter, sauberer Zustand - Ausgabejahr 2012 12262694/12 Versandkostenfreie Lieferung Intelligent Computing,Belief Functions,, [PU:Springer Berlin,]
2012, ISBN: 9783642294600
Proceedings of the 2nd International Conference on Belief Functions, Compiègne, France 9-11 May 2012, Buch, Softcover, [PU: Springer Berlin], Springer Berlin, 2012
Bibliographische Daten des bestpassenden Buches
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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.
Detailangaben zum Buch - Belief Functions: Theory and Applications
EAN (ISBN-13): 9783642294600
ISBN (ISBN-10): 364229460X
Gebundene Ausgabe
Taschenbuch
Erscheinungsjahr: 2012
Herausgeber: Springer Berlin
442 Seiten
Gewicht: 0,684 kg
Sprache: Englisch
Buch in der Datenbank seit 2009-04-15T16:26:24+02:00 (Berlin)
Detailseite zuletzt geändert am 2023-04-24T19:54:19+02:00 (Berlin)
ISBN/EAN: 9783642294600
ISBN - alternative Schreibweisen:
3-642-29460-X, 978-3-642-29460-0
Alternative Schreibweisen und verwandte Suchbegriffe:
Autor des Buches: masson, thier, thierry, helene mass, helene maß
Titel des Buches: applications theory, applications functions, compiegne, the theory functions, beyond belief, 2012
Daten vom Verlag:
Autor/in: Thierry Denoeux; Marie-Hélène Masson
Titel: Advances in Intelligent and Soft Computing; Belief Functions: Theory and Applications - Proceedings of the 2nd International Conference on Belief Functions, Compiègne, France 9-11 May 2012
Verlag: Springer; Springer Berlin
444 Seiten
Erscheinungsjahr: 2012-04-27
Berlin; Heidelberg; DE
Gedruckt / Hergestellt in Niederlande.
Sprache: Englisch
213,99 € (DE)
219,99 € (AT)
236,00 CHF (CH)
POD
XII, 444 p. 96 illus., 54 illus. in color.
BC; Hardcover, Softcover / Technik/Allgemeines, Lexika; Künstliche Intelligenz; Verstehen; Ingenieurwissenschaften; Belief Functions; Intelligent Computing; Computational Intelligence; Artificial Intelligence; EA
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.Latest research on theory and applications Belief functions Results of the 2nd International Conference on Belief Functions, Compiègne, France 9-11 May 2012 Written by leading experts in the field
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