305 search results - page 20 / 61 » Bayesian Learning of Markov Network Structure |
JMLR
2008
13 years 7 months ago
2008
We show how a generic feature selection algorithm returning strongly relevant variables can be turned into a causal structure learning algorithm. We prove this under the Faithfuln...
UAI
1998
13 years 9 months ago
1998
Recent research in decision theoretic planning has focussedon making the solution of Markov decision processes (MDPs) more feasible. We develop a family of algorithms for structur...
ICML
2005
IEEE
14 years 8 months ago
2005
IEEE
The use of Bayesian networks for classification problems has received significant recent attention. Although computationally efficient, the standard maximum likelihood learning me...
ICML
2004
IEEE
14 years 8 months ago
2004
IEEE
Bayesian networks are a powerful probabilistic representation, and their use for classification has received considerable attention. However, they tend to perform poorly when lear...
CVPR
2004
IEEE
14 years 9 months ago
2004
IEEE
Many classes of images have the characteristics of sparse structuring of statistical dependency and the presence of conditional independencies among various groups of variables. S...