131 search results - page 13 / 27 » Global Conditioning for Probabilistic Inference in Belief Ne... |
TSMC
2008
13 years 7 months ago
2008
In this paper, we propose a geometric approach to the theory of evidence based on convex geometric interpretations of its two key notions of belief function (b.f.) and Dempster...
NETWORKING
2004
13 years 8 months ago
2004
Probabilistic inference was shown effective in non-deterministic diagnosis of end-to-end service failures. Since exact probabilistic diagnosis is known to be an NP-hard problem, a...
JMLR
2010
13 years 2 months ago
2010
Probabilistic models of the performance of computer systems are useful both for predicting system performance in new conditions, and for diagnosing past performance problems. The ...
ECAI
2010
Springer
13 years 7 months ago
2010
Springer
Abstract. Algorithms for probabilistic inference in Bayesian networks are known to have running times that are worst-case exponential in the size of the network. For networks with ...
AMAI
2004
Springer
14 years 27 days ago
2004
Springer
Learning the parameters (conditional and marginal probabilities) from a data set is a common method of building a belief network. Consider the situation where we have known graph s...