68 search results - page 12 / 14 » On the Complexity of Probabilistic Inference in Singly Conne... |
IJUFKS
2000
13 years 7 months ago
2000
Theefficiency of algorithmsfor probabilistic inference in Bayesian networks can be improvedby exploiting independenceof causal influence. Thefactorized representation of independe...
IJCNN
2006
IEEE
14 years 1 months ago
2006
IEEE
Abstract— Making inferences and choosing appropriate responses based on incomplete, uncertainty and noisy data is challenging in financial settings particularly in bankruptcy de...
JMLR
2010
13 years 2 months ago
2010
Deep belief networks are a powerful way to model complex probability distributions. However, it is difficult to learn the structure of a belief network, particularly one with hidd...
SIGMOD
2001
ACM
14 years 7 months ago
2001
ACM
Estimating the result size of complex queries that involve selection on multiple attributes and the join of several relations is a difficult but fundamental task in database query...
BMCBI
2010
13 years 7 months ago
2010
Background: One of main aims of Molecular Biology is the gain of knowledge about how molecular components interact each other and to understand gene function regulations. Using mi...