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CSDA
2006
71views more  CSDA 2006»
13 years 11 months ago
Practical representations of incomplete probabilistic knowledge
This article deals with the compact representation of incomplete probabilistic knowledge which can be encountered in risk evaluation problems, for instance in environmental studie...
Cédric Baudrit, Didier Dubois
FSS
2008
87views more  FSS 2008»
13 years 11 months ago
Representing parametric probabilistic models tainted with imprecision
Numerical possibility theory, belief function have been suggested as useful tools to represent imprecise, vague or incomplete information. They are particularly appropriate in unc...
Cédric Baudrit, Didier Dubois, Nathalie Per...
CORR
2008
Springer
94views Education» more  CORR 2008»
13 years 11 months ago
Decision Support with Belief Functions Theory for Seabed Characterization
The seabed characterization from sonar images is a very hard task because of the produced data and the unknown environment, even for an human expert. In this work we propose an ori...
Arnaud Martin, Isabelle Quidu
IJCAI
1993
14 years 23 days ago
Quantifying Beliefs by Belief Functions: An Axiomatic Justification
: We present a set of axioms that justify the use of belief functions to quantify the beliefs held by an agent Y at time t and based on Y's evidential corpus. It is essentiall...
Philippe Smets
IICAI
2003
14 years 25 days ago
Belief Augmented Frame Sets for Knowledge Representation in Spoken Dialog Systems
We propose a frame structure that is augmented with belief functions to model knowledge in a spoken dialog system. In addition we propose methods to combine belief functions in the...
Colin Keng-Yan Tan, Kim-Teng Lua
ISIPTA
1999
IEEE
169views Mathematics» more  ISIPTA 1999»
14 years 3 months ago
Dempster-Belief Functions Are Based on the Principle of Complete Ignorance
This paper shows that a "principle of complete ignorance" plays a central role in decisions based on Dempster belief functions. Such belief functions occur when, in a fi...
Peter P. Wakker
ISIPTA
2003
IEEE
14 years 4 months ago
Combining Belief Functions Issued from Dependent Sources
Dempsterā€™s rule for combining two belief functions assumes the independence of the sources of information. If this assumption is questionable, I suggest to use the least speciļ¬...
Marco E. G. V. Cattaneo
SIGMOD
2005
ACM
123views Database» more  SIGMOD 2005»
14 years 5 months ago
To Do or Not To Do: The Dilemma of Disclosing Anonymized Data
Decision makers of companies often face the dilemma of whether to release data for knowledge discovery, vis a vis the risk of disclosing proprietary or sensitive information. Whil...
Laks V. S. Lakshmanan, Raymond T. Ng, Ganesh Rames...
ISIPTA
2005
IEEE
125views Mathematics» more  ISIPTA 2005»
14 years 5 months ago
Evidential modeling for pose estimation
Pose estimation involves reconstructing the conļ¬guration of a moving body from images sequences. In this paper we present a general framework for pose estimation of unknown obje...
Fabio Cuzzolin, Ruggero Frezza
GW
2007
Springer
93views Biometrics» more  GW 2007»
14 years 5 months ago
Sequential Belief-Based Fusion of Manual and Non-manual Information for Recognizing Isolated Signs
Abstract. This work aims to recognize signs which have both manual and nonmanual components by providing a sequential belief-based fusion mechanism. We propose a methodology based ...
Oya Aran, Thomas Burger, Alice Caplier, Lale Akaru...