127 search results - page 4 / 26 » Bayesian Evolutionary Optimization Using Helmholtz Machines |
EVOW
2003
Springer
13 years 11 months ago
2003
Springer
Abstract. Many evolutionary algorithm applications involve either fitness functions with high time complexity or large dimensionality (hence very many fitness evaluations will typi...
GECCO
2008
Springer
13 years 7 months ago
2008
Springer
Evolutionary Algorithms’ (EAs’) application to real world optimization problems often involves expensive fitness function evaluation. Naturally this has a crippling effect on ...
FPGA
2010
ACM
13 years 6 months ago
2010
ACM
We use reconfigurable hardware to construct a high throughput Bayesian computing machine (BCM) capable of evaluating probabilistic networks with arbitrary DAG (directed acyclic gr...
GECCO
2007
Springer
14 years 9 days ago
2007
Springer
In this work we present a novel and efficient algorithm– independent stopping criterion, called the MGBM criterion, suitable for Multiobjective Optimization Evolutionary Algorit...
ICML
2009
IEEE
14 years 7 months ago
2009
IEEE
This paper addresses exact learning of Bayesian network structure from data and expert's knowledge based on score functions that are decomposable. First, it describes useful ...