396 search results - page 10 / 80 » On the Use of Restrictions for Learning Bayesian Networks |
GECCO
2009
Springer
14 years 16 hour ago
2009
Springer
We propose a cooperative-coevolution – Parisian trend – algorithm, IMPEA (Independence Model based Parisian EA), to the problem of Bayesian networks structure estimation. It i...
BMCBI
2011
13 years 2 months ago
2011
Background: Gene-gene epistatic interactions likely play an important role in the genetic basis of many common diseases. Recently, machine-learning and data mining methods have be...
HYBRID
2000
Springer
13 years 11 months ago
2000
Springer
Abstract. Switching linear dynamic systems (SLDS) attempt to describe a complex nonlinear dynamic system with a succession of linear models indexed by a switching variable. Unfortu...
ECCB
2003
IEEE
14 years 21 days ago
2003
IEEE
This article deals with the identification of gene regulatory networks from experimental data using a statistical machine learning approach. A stochastic model of gene interactio...
ICPR
2008
IEEE
14 years 1 months ago
2008
IEEE
This paper describes a new approach to unify constraints on parameters with training data to perform parameter estimation in Bayesian networks of known structure. The method is ge...