115 search results - page 12 / 23 » On Axiomatizing Probabilistic Conditional Independencies in ... |
ICML
2006
IEEE
14 years 8 months ago
2006
IEEE
The structure of a Bayesian network (BN) encodes variable independence. Learning the structure of a BN, however, is typically of high computational complexity. In this paper, we e...
CVPR
2004
IEEE
14 years 9 months ago
2004
IEEE
Bayesian methods for visual tracking model the likelihood of image measurements conditioned on a tracking hypothesis. Image measurements may, for example, correspond to various fi...
UAI
1994
13 years 9 months ago
1994
Wepresenta symbolicmachinerythatadmits bothprobabilisticand causalinformation abouta givendomainand producesprobabilisticstatementsabouttheeffectofactions andtheimpactof observati...
ICTAI
2006
IEEE
14 years 1 months ago
2006
IEEE
Bayesian networks (BNs) have been widely used as a model for knowledge representation and probabilistic inferences. However, the single probability representation of conditional d...
UAI
1996
13 years 9 months ago
1996
In learning belief networks, the single link lookahead search is widely adopted to reduce the search space. We show that there exists a class of probabilistic domain models which ...