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AAAI
2010
13 years 10 months ago
Inducing Probability Distributions from Knowledge Bases with (In)dependence Relations
When merging belief sets from different agents, the result is normally a consistent belief set in which the inconsistency between the original sources is not represented. As proba...
Jianbing Ma, Weiru Liu, Anthony Hunter
RC
2007
64views more  RC 2007»
13 years 9 months ago
Unimodality, Independence Lead to NP-Hardness of Interval Probability Problems
In many real-life situations, we only have partial information about probabilities. This information is usually described by bounds on moments, on probabilities of certain events,...
Daniel Berleant, Olga Kosheleva, Vladik Kreinovich...
ICST
2010
IEEE
13 years 8 months ago
Generating Transition Probabilities for Automatic Model-Based Test Generation
—Markov chains with Labelled Transitions can be used to generate test cases in a model-based approach. These test cases are generated by random walks on the model according to pr...
Abderrahmane Feliachi, Hélène Le Gue...
IRI
2008
IEEE
14 years 4 months ago
Computation with imprecise probabilities
abstract An imprecise probability distribution is an instance of second-order uncertainty, that is, uncertainty about uncertainty, or uncertainty for short. Another instance is an ...
Lotfi A. Zadeh
FOCS
2003
IEEE
14 years 3 months ago
Always Good Turing: Asymptotically Optimal Probability Estimation
While deciphering the Enigma Code during World War II, I.J. Good and A.M. Turing considered the problem of estimating a probability distribution from a sample of data. They derive...
Alon Orlitsky, Narayana P. Santhanam, Junan Zhang