182 search results - page 4 / 37 » Neural Network Ensembles from Training Set Expansions |
ICANN
2005
Springer
14 years 1 months ago
2005
Springer
Abstract. The literature suggests that an ensemble of classifiers outperforms a single classifier across a range of classification problems. This paper investigates the applicat...
IWANN
2005
Springer
14 years 1 months ago
2005
Springer
Abstract. In Machine Learning, ensembles are combination of classifiers. Their objective is to improve the accuracy. In previous works, we have presented a method for the generati...
ICANN
2010
Springer
13 years 9 months ago
2010
Springer
Abstract. In this paper we present a Reinforcement Learning (RL) approach with the capability to train neural adaptive controllers for complex control problems without expensive on...
KDD
1995
ACM
13 years 11 months ago
1995
ACM
We develop,in the context of discriminantanalysis,a generalapproachto the designof neuralarchitectures. It consistsin building a neuralnet ‘around’a statistical model family; ...
IJON
2008
13 years 7 months ago
2008
Recently, many researchers have designed neural network architectures with evolutionary algorithms but most of them have used only the fittest solution of the last generation. To ...