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» A new probabilistic transformation of belief mass assignment
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CORR
2008
Springer
75views Education» more  CORR 2008»
13 years 4 months ago
A new probabilistic transformation of belief mass assignment
In this paper, we propose in Dezert-Smarandache Theory (DSmT) framework, a new probabilistic transformation, called DSmP, in order to build a subjective probability measure from an...
Jean Dezert, Florentin Smarandache
APIN
1998
78views more  APIN 1998»
13 years 4 months ago
The Method of Assigning Incidences
Incidence calculus is a probabilistic logic in which incidences, standing for the situations in which formulae may be true, are assigned to some formulae, and probabilities are as...
Weiru Liu, David McBryan, Alan Bundy
ECSQARU
2007
Springer
13 years 11 months ago
On the Orthogonal Projection of a Belief Function
In this paper we study a new probability associated with any given belief function b, i.e. the orthogonal projection π[b] of b onto the probability simplex P. We provide an interp...
Fabio Cuzzolin
AAAI
2007
13 years 7 months ago
Using Expectation Maximization to Find Likely Assignments for Solving CSP's
We present a new probabilistic framework for finding likely variable assignments in difficult constraint satisfaction problems. Finding such assignments is key to efficient sea...
Eric I. Hsu, Matthew Kitching, Fahiem Bacchus, She...
SUM
2009
Springer
13 years 11 months ago
Modeling Unreliable Observations in Bayesian Networks by Credal Networks
Bayesian networks are probabilistic graphical models widely employed in AI for the implementation of knowledge-based systems. Standard inference algorithms can update the beliefs a...
Alessandro Antonucci, Alberto Piatti