2868 search results - page 3 / 574 » Inference in Bayesian Networks |
KDD
2004
ACM
14 years 6 months ago
2004
ACM
NIPS
1998
13 years 7 months ago
1998
We study probabilistic inference in large, layered Bayesian networks represented as directed acyclic graphs. We show that the intractability of exact inference in such networks do...
IJAR
2006
13 years 5 months ago
2006
An important class of continuous Bayesian networks are those that have linear conditionally deterministic variables (a variable that is a linear deterministic function of its pare...
ICML
2005
IEEE
14 years 6 months ago
2005
IEEE
Naive Bayes models have been widely used for clustering and classification. However, they are seldom used for general probabilistic learning and inference (i.e., for estimating an...
PERCOM
2010
ACM
13 years 4 months ago
2010
ACM
—This paper shows how to reduce evaluation time for context inference. Probabilistic Context Inference has proven to be a good representation of the physical reality with uncerta...