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TSMC
2010
12 years 11 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
13 years 5 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
13 years 6 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
13 years 8 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
13 years 10 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
13 years 10 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
13 years 11 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