50 search results - page 4 / 10 » Logical Compilation of Bayesian Networks with Discrete Varia... |
NIPS
2003
13 years 10 months ago
2003
We present an analysis of concentration-of-expectation phenomena in layered Bayesian networks that use generalized linear models as the local conditional probabilities. This frame...
UAI
2001
13 years 10 months ago
2001
In this paper we present a method of computing the posterior probability of conditional independence of two or more continuous variables from data, examined at several resolutions...
ICDM
2010
IEEE
13 years 6 months ago
2010
IEEE
Whenever a dataset has multiple discrete target variables, we want our algorithms to consider not only the variables themselves, but also the interdependencies between them. We pro...
ESOP
2011
Springer
13 years 1 days ago
2011
Springer
Abstract. The Bayesian approach to machine learning amounts to inferring posterior distributions of random variables from a probabilistic model of how the variables are related (th...
LOPSTR
2005
Springer
14 years 2 months ago
2005
Springer
A variable is local if it occurs in a clause body but not in its head. Local variables appear naturally in practical logic programming, but they complicate several aspects such as ...