161 search results - page 9 / 33 » Learning Bayesian Belief Network Classifiers: Algorithms and... |
GECCO
2003
Springer
14 years 29 days ago
2003
Springer
Learning Bayesian networks from data has been studied extensively in the evolutionary algorithm communities [Larranaga96, Wong99]. We have previously explored extending some of the...
ATAL
2005
Springer
14 years 1 months ago
2005
Springer
State estimation consists of updating an agent’s belief given executed actions and observed evidence to date. In single agent environments, the state estimation can be formalize...
PRL
2006
13 years 7 months ago
2006
This paper studies two types of spatial relationships that can be learned from training examples for object recognition. The first one employs deformable relationships between obj...
CVPR
2004
IEEE
14 years 9 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...
GECCO
2007
Springer
14 years 1 months ago
2007
Springer
This paper introduces a new variety of learning classifier system (LCS), called MILCS, which utilizes mutual information as fitness feedback. Unlike most LCSs, MILCS is specifical...