Advances in Intelligent and Soft Computing - Belief Functions: Theory and Applications
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Published By Springer Berlin Heidelberg

9783642294600, 9783642294617

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Belief Inference with Timed Evidence

Advances in Intelligent and Soft Computing - Belief Functions: Theory and Applications ◽

10.1007/978-3-642-29461-7_48 ◽

2012 ◽

pp. 409-416 ◽

Cited By ~ 2

Author(s):

Bastien Pietropaoli ◽

Michele Dominici ◽

Fréedéric Weis

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Reliability in the Thresholded Dempster-Shafer Algorithm for ESM Data Fusion

Advances in Intelligent and Soft Computing - Belief Functions: Theory and Applications ◽

10.1007/978-3-642-29461-7_31 ◽

2012 ◽

pp. 267-274 ◽

Cited By ~ 1

Author(s):

Melita Hadzagic ◽

Marie-Odette St-Hilaire ◽

Pierre Valin

Keyword(s):

Data Fusion

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Evidential Network with Conditional Belief Functions for an Adaptive Training in Informed Virtual Environment

Advances in Intelligent and Soft Computing - Belief Functions: Theory and Applications ◽

10.1007/978-3-642-29461-7_49 ◽

2012 ◽

pp. 417-424 ◽

Cited By ~ 3

Author(s):

Loïc Fricoteaux ◽

Indira Thouvenin ◽

Jérôme Olive ◽

Paul George

Keyword(s):

Virtual Environment ◽

Belief Functions ◽

Conditional Belief ◽

Adaptive Training ◽

Evidential Network

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Sigmoidal Model for Belief Function-Based Electre Tri Method

Advances in Intelligent and Soft Computing - Belief Functions: Theory and Applications ◽

10.1007/978-3-642-29461-7_47 ◽

2012 ◽

pp. 401-408 ◽

Cited By ~ 4

Author(s):

Jean Dezert ◽

Jean-Marc Tacnet

Keyword(s):

Belief Function ◽

Electre Tri ◽

Sigmoidal Model

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Adaptive Initialization of a EvKNN Classification Algorithm

Advances in Intelligent and Soft Computing - Belief Functions: Theory and Applications ◽

10.1007/978-3-642-29461-7_8 ◽

2012 ◽

pp. 69-76

Author(s):

Stefen Chan Wai Tim ◽

Michèle Rombaut ◽

Denis Pellerin

Keyword(s):

Classification Algorithm

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Dempster-Shafer Fusion of Context Sources for Pedestrian Recognition

Advances in Intelligent and Soft Computing - Belief Functions: Theory and Applications ◽

10.1007/978-3-642-29461-7_37 ◽

2012 ◽

pp. 319-326 ◽

Cited By ~ 1

Author(s):

Magdalena Szczot ◽

Otto Löhlein ◽

Günther Palm

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Generalizations of the Relative Belief Transform

Advances in Intelligent and Soft Computing - Belief Functions: Theory and Applications ◽

10.1007/978-3-642-29461-7_13 ◽

2012 ◽

pp. 109-116 ◽

Cited By ~ 1

Author(s):

Fabio Cuzzolin

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A New Local Measure of Disagreement between Belief Functions – Application to Localization

Advances in Intelligent and Soft Computing - Belief Functions: Theory and Applications ◽

10.1007/978-3-642-29461-7_39 ◽

2012 ◽

pp. 335-342 ◽

Cited By ~ 2

Author(s):

Arnaud Roquel ◽

Sylvie Le Hégarat-Mascle ◽

Isabelle Bloch ◽

Bastien Vincke

Keyword(s):

Belief Functions ◽

Local Measure

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Classification Trees Based on Belief Functions

Advances in Intelligent and Soft Computing - Belief Functions: Theory and Applications ◽

10.1007/978-3-642-29461-7_9 ◽

2012 ◽

pp. 77-84 ◽

Cited By ~ 8

Author(s):

Nicolas Sutton-Charani ◽

Sébastien Destercke ◽

Thierry Denœux

Keyword(s):

Classification Trees ◽

Belief Functions

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Hierarchical Proportional Redistribution for bba Approximation

Advances in Intelligent and Soft Computing - Belief Functions: Theory and Applications ◽

10.1007/978-3-642-29461-7_32 ◽

2012 ◽

pp. 275-283 ◽

Cited By ~ 4

Author(s):

Jean Dezert ◽

Deqiang Han ◽

Zhunga Liu ◽

Jean-Marc Tacnet

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Advances in Intelligent and Soft Computing - Belief Functions: Theory and ApplicationsLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer Berlin Heidelberg

Belief Inference with Timed Evidence

Reliability in the Thresholded Dempster-Shafer Algorithm for ESM Data Fusion

Evidential Network with Conditional Belief Functions for an Adaptive Training in Informed Virtual Environment

Sigmoidal Model for Belief Function-Based Electre Tri Method

Adaptive Initialization of a EvKNN Classification Algorithm

Dempster-Shafer Fusion of Context Sources for Pedestrian Recognition

Generalizations of the Relative Belief Transform

A New Local Measure of Disagreement between Belief Functions – Application to Localization

Classification Trees Based on Belief Functions

Hierarchical Proportional Redistribution for bba Approximation

Advances in Intelligent and Soft Computing - Belief Functions: Theory and Applications
Latest Publications