447 search results - page 10 / 90 » Explaining inferences in Bayesian networks |
AAAI
2008
13 years 9 months ago
2008
We propose a novel method for approximate inference in Bayesian networks (BNs). The idea is to sample data from a BN, learn a latent tree model (LTM) from the data offline, and wh...
JAIR
2011
13 years 2 months ago
2011
Previous studies have demonstrated that encoding a Bayesian network into a SAT formula and then performing weighted model counting using a backtracking search algorithm can be an ...
FEGC
2008
13 years 9 months ago
2008
We propose a novel algorithm for extracting the structure of a Bayesian network from a dataset. Our approach is based on generalized conditional entropies, a parametric family of e...
JCB
2006
13 years 7 months ago
2006
As postgenomic biology becomes more predictive, the ability to infer rate parameters of genetic and biochemical networks will become increasingly important. In this paper, we expl...
IJAR
2006
13 years 7 months ago
2006
Mixtures of truncated exponentials (MTE) potentials are an alternative to discretization for solving hybrid Bayesian networks. Any probability density function can be approximated...