300 search results - page 4 / 60 » A genetic algorithm-based method for feature subset selectio... |
IJCAI
2001
14 years 7 days ago
2001
Neural network ensemble is a learning paradigm where several neural networks are jointly used to solve a problem. In this paper, the relationship between the generalization abilit...
FSKD
2005
Springer
14 years 4 months ago
2005
Springer
Abstract. In the artificial neural networks (ANNs), feature selection is a wellresearched problem, which can improve the network performance and speed up the training of the networ...
GECCO
1999
Springer
14 years 3 months ago
1999
Springer
The Commonality-Based Crossover Framework has been presented as a general model for designing problem specific operators. Following this model, the Common Features/Random Sample ...
KDD
1995
ACM
14 years 2 months ago
1995
ACM
In the wrapperapproachto feature subset selection, a searchfor an optimalset of features is madeusingthe induction algorithm as a black box. Theestimated future performanceof the ...
GECCO
2007
Springer
14 years 5 months ago
2007
Springer
Selecting the most relevant factors from genetic profiles that can optimally characterize cellular states is of crucial importance in identifying complex disease genes and biomark...