1204 search results - page 29 / 241 » Hybrid Probabilistic Programs |
ICLP
2010
Springer
14 years 1 months ago
2010
Springer
Abstract. There is currently a large interest in probabilistic logical models. A popular algorithm for approximate probabilistic inference with such models is Gibbs sampling. From ...
CP
2006
Springer
14 years 1 months ago
2006
Springer
We consider probabilistic constrained linear programs with general distributions for the uncertain parameters. These problems generally involve non-convex feasible sets. We develo...
POPL
2007
ACM
14 years 10 months ago
2007
ACM
In this paper, we propose a new algorithm for proving the validity or invalidity of a pre/postcondition pair for a program. The algorithm is motivated by the success of the algori...
JMLR
2006
13 years 9 months ago
2006
We consider an optimization problem in probabilistic inference: Given n hypotheses Hj, m possible observations Ok, their conditional probabilities pk j, and a particular Ok, selec...
SUM
2010
Springer
13 years 8 months ago
2010
Springer
Abstract. Action-probabilistic logic programs (ap-programs), a class of probabilistic logic programs, have been applied during the last few years for modeling behaviors of entities...