159 search results - page 8 / 32 » Bayesian Networks Optimization Based on Induction Learning T... |
JMLR
2010
13 years 1 months ago
2010
We propose to solve the combinatorial problem of finding the highest scoring Bayesian network structure from data. This structure learning problem can be viewed as an inference pr...
EVOW
2008
Springer
13 years 8 months ago
2008
Springer
In this paper, biological (human) music composition systems based on Time Delay Neural Networks and Ward Nets and on a probabilistic Finite-State Machine will be presented. The sys...
IJAR
2010
13 years 5 months ago
2010
We recall the basic idea of an algebraic approach to learning Bayesian network (BN) structures, namely to represent every BN structure by a certain (uniquely determined) vector, c...
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...
CEC
2007
IEEE
14 years 1 months ago
2007
IEEE
— Metaheuristics such as Estimation of Distribution Algorithms and the Cross-Entropy method use probabilistic modelling and inference to generate candidate solutions in optimizat...