136 search results - page 20 / 28 » Context-Specific Independence in Bayesian Networks |
EMNLP
2006
13 years 11 months ago
2006
In this paper we show that generative models are competitive with and sometimes superior to discriminative models, when both kinds of models are allowed to learn structures that a...
ICDM
2003
IEEE
14 years 3 months ago
2003
IEEE
The Markov Blanket of a target variable is the minimum conditioning set of variables that makes the target independent of all other variables. Markov Blankets inform feature selec...
NIPS
2007
13 years 11 months ago
2007
Dynamic Bayesian networks are structured representations of stochastic processes. Despite their structure, exact inference in DBNs is generally intractable. One approach to approx...
UAI
2004
13 years 11 months ago
2004
Ancestral graph models, introduced by Richardson and Spirtes (2002), generalize both Markov random fields and Bayesian networks to a class of graphs with a global Markov property ...
JMLR
2002
13 years 9 months ago
2002
In this paper we prove the so-called "Meek Conjecture". In particular, we show that if a DAG H is an independence map of another DAG G, then there exists a finite sequen...