18 search results - page 3 / 4 » Learning Undirected Possibilistic Networks with Conditional ... |
BMCBI
2010
13 years 6 months ago
2010
Background: The aim of this study was to provide a framework for the analysis of visceral obesity and its determinants in women, where complex inter-relationships are observed amo...
CIKM
1997
Springer
13 years 10 months ago
1997
Springer
This paper presents an efficient algorithm for learning Bayesian belief networks from databases. The algorithm takes a database as input and constructs the belief network structur...
ECAI
2010
Springer
13 years 3 months ago
2010
Springer
The proposed feature selection method aims to find a minimum subset of the most informative variables for classification/regression by efficiently approximating the Markov Blanket ...
ICDM
2002
IEEE
13 years 11 months ago
2002
IEEE
This paper describes a novel data mining approach that employs evolutionary programming to discover knowledge represented in Bayesian networks. There are two different approaches ...
CVPR
2004
IEEE
14 years 8 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...