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TSMC
2010
13 years 7 months ago
Credal Semantics of Bayesian Transformations in Terms of Probability Intervals
In this paper we propose a credal representation of the interval probability associated with a belief function (b.f.), and show how it relates to several classical Bayesian transfo...
Fabio Cuzzolin
UAI
1994
14 years 1 months ago
Belief Induced by the Partial Knowledge of the Probabilities
: We construct the belief function that quantifies the agent' beliefs about which event of will occurred when he knows that the event is selected by a chance set-up and that ...
Philippe Smets
EUSFLAT
2007
14 years 1 months ago
On the k-additive Core of Capacities
We investigate in this paper the set of kadditive capacities dominating a given capacity, which we call the k-additive core. We study its structure through achievable families, wh...
Michel Grabisch, Pedro Miranda
ECSQARU
1999
Springer
14 years 4 months ago
An Alternative to Outward Propagation for Dempster-Shafer Belief Functions
Abstract. Given several Dempster-Shafer belief functions, the framework of valuation networks describes an efficient method for computing the marginal of the combined belief functi...
Norbert Lehmann, Rolf Haenni
ECSQARU
2005
Springer
14 years 6 months ago
Contextual Discounting of Belief Functions
The Transferable Belief Model is a general framework for managing imprecise and uncertain information using belief functions. In this framework, the discounting operation allows to...
David Mercier, Benjamin Quost, Thierry Denoeux
ICALP
2007
Springer
14 years 6 months ago
Continuous Capacities on Continuous State Spaces
We propose axiomatizing some stochastic games, in a continuous state space setting, using continuous belief functions, resp. plausibilities, instead of measures. Then, stochastic g...
Jean Goubault-Larrecq
ECSQARU
2009
Springer
14 years 7 months ago
Belief Functions and Cluster Ensembles
Abstract. In this paper, belief functions, defined on the lattice of partitions of a set of objects, are investigated as a suitable framework for combining multiple clusterings. W...
Marie-Hélène Masson, Thierry Denoeux