127 search results - page 13 / 26 » Bayesian Evolutionary Optimization Using Helmholtz Machines |
PPSN
2000
Springer
14 years 1 months ago
2000
Springer
Domain knowledge is essential for successful problem solving and optimization. This paper introduces a framework in which a form of automatic domain knowledge extraction can be im...
GECCO
2007
Springer
14 years 4 months ago
2007
Springer
Surrogate-Assisted Memetic Algorithm(SAMA) is a hybrid evolutionary algorithm, particularly a memetic algorithm that employs surrogate models in the optimization search. Since mos...
ICML
2003
IEEE
14 years 10 months ago
2003
IEEE
We analyze the formal grounding behind Negative Correlation (NC) Learning, an ensemble learning technique developed in the evolutionary computation literature. We show that by rem...
GECCO
2008
Springer
13 years 11 months ago
2008
Springer
The realization of a control unit can be done using a complex circuitry or microprogramming. The latter may be considered as an alternative method of implementation of machine ins...
ICML
2005
IEEE
14 years 10 months ago
2005
IEEE
In this paper, we compare both discriminative and generative parameter learning on both discriminatively and generatively structured Bayesian network classifiers. We use either ma...