305 search results - page 24 / 61 » Bayesian Learning of Markov Network Structure |
UAI
1998
13 years 9 months ago
1998
In this paper we address the problem of discretization in the context of learning Bayesian networks (BNs) from data containing both continuous and discrete variables. We describe ...
JMLR
2010
13 years 2 months ago
2010
This paper introduces a Bayesian algorithm for constructing predictive models from data that are optimized to predict a target variable well for a particular instance. This algori...
CIDM
2009
IEEE
14 years 2 months ago
2009
IEEE
Abstract— A Bayes net has qualitative and quantitative aspects: The qualitative aspect is its graphical structure that corresponds to correlations among the variables in the Baye...
ML
2010
ACM
13 years 6 months ago
2010
ACM
In several domains it is common to have data from different, but closely related problems. For instance, in manufacturing, many products follow the same industrial process but with...
IJAR
2011
12 years 11 months ago
2011
The basic idea of an algebraic approach to learning Bayesian network (BN) structures is to represent every BN structure by a certain uniquely determined vector, called the standar...