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TNN
2008
79views more  TNN 2008»
15 years 6 months ago
Performing Feature Selection With Multilayer Perceptrons
An experimental study on two decision issues for wrapper feature selection (FS) with multilayer perceptrons and the sequential backward selection (SBS) procedure is presented. The ...
Enrique Romero, Josep M. Sopena
COGSCI
2002
108views more  COGSCI 2002»
15 years 6 months ago
Statistical models for the induction and use of selectional preferences
Selectional preferences have a long history in both generative and computational linguistics. However, since the publication of Resnik's dissertation in 1993, a new approach ...
Marc Light, Warren R. Greiff
IJON
2000
71views more  IJON 2000»
15 years 6 months ago
Variable selection using neural-network models
In this paper we propose an approach to variable selection that uses a neural-network model as the tool to determine which variables are to be discarded. The method performs a bac...
Giovanna Castellano, Anna Maria Fanelli
MCS
2002
Springer
15 years 6 months ago
Forward and Backward Selection in Regression Hybrid Network
Abstract. We introduce a Forward Backward and Model Selection algorithm (FBMS) for constructing a hybrid regression network of radial and perceptron hidden units. The algorithm det...
Shimon Cohen, Nathan Intrator
MCS
2009
Springer
16 years 1 months ago
Selective Ensemble under Regularization Framework
An ensemble is generated by training multiple component learners for a same task and then combining them for predictions. It is known that when lots of trained learners are availab...
Nan Li, Zhi-Hua Zhou