377 search results - page 3 / 76 » Learning Bayesian networks from data: An information-theory ... |
FEGC
2008
13 years 7 months ago
2008
We propose a novel algorithm for extracting the structure of a Bayesian network from a dataset. Our approach is based on generalized conditional entropies, a parametric family of e...
DSS
2007
13 years 5 months ago
2007
We present two algorithms for learning large-scale gene regulatory networks from microarray data: a modified informationtheory-based Bayesian network algorithm and a modified asso...
MICAI
2007
Springer
13 years 12 months ago
2007
Springer
Abstract. In this paper we utilize information theory to study the impact in learning performance of various motivation and environmental configurations. This study is done within...
ICDM
2002
IEEE
13 years 10 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 ...
ITS
2010
Springer
13 years 10 months ago
2010
Springer
The traditional, well established approach to finding out what works in education research is to run a randomized controlled trial (RCT) using a standard pretest and posttest desig...