326 search results - page 6 / 66 » Bootstrap for neural model selection |
JIFS
2002
13 years 9 months ago
2002
This work addresses the problem of finding the adjustable parameters of a learning algorithm using Genetic Algorithms. This problem is also known as the model selection problem. In...
ESWA
2008
13 years 10 months ago
2008
In this study, a multistage neural network ensemble learning model is proposed to evaluate credit risk at the measurement level. The proposed model consists of six stages. In the ...
EMNLP
2010
13 years 7 months ago
2010
Parser disambiguation with precision grammars generally takes place via statistical ranking of the parse yield of the grammar using a supervised parse selection model. In the stan...
ESANN
2003
13 years 11 months ago
2003
Abstract. We study various ensemble methods for hybrid neural networks. The hybrid networks are composed of radial and projection units and are trained using a deterministic algori...
ANNES
1995
14 years 1 months ago
1995
Ageneticalgorithmselectedcombinationsofattributesfor amachinelearningsystem.Thealgorithmused90Bach choralemelodiestotrainmodelsandrandomlyselectedsets of10choralesforevaluation.Co...