127 search results - page 1 / 26 » Bayesian Evolutionary Optimization Using Helmholtz Machines |
PPSN
2000
Springer
14 years 2 months ago
2000
Springer
ICML
2003
IEEE
14 years 4 months ago
2003
IEEE
The links between genetic algorithms and population-based Markov Chain Monte Carlo (MCMC) methods are explored. Genetic algorithms (GAs) are well-known for their capability to opt...
SEAL
2010
Springer
13 years 9 months ago
2010
Springer
During engineering design, it is often difficult to quantify product reliability because of insufficient data or information for modeling the uncertainties. In such cases, one need...
LION
2009
Springer
14 years 5 months ago
2009
Springer
Abstract. Probabilistic Neural Networks (PNNs) constitute a promising methodology for classification and prediction tasks. Their performance depends heavily on several factors, su...
IJON
1998
13 years 10 months ago
1998
Bayesian Kullback Ying—Yang dependence reduction system and theory is presented. Via stochastic approximation, implementable algorithms and criteria are given for parameter lear...