91 search results - page 4 / 19 » Feature Subset Selection, Class Separability, and Genetic Al... |
FSKD
2005
Springer
15 years 3 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...
ICPR
2008
IEEE
15 years 3 months ago
2008
IEEE
We propose Genetic Algorithms to improve the feature subset selection by combining the valuable outcomes from multiple feature selection methods. This paper also motivates the use...
BMCBI
2004
14 years 9 months ago
2004
Background: Clustering is one of the most commonly used methods for discovering hidden structure in microarray gene expression data. Most current methods for clustering samples ar...
ICB
2007
Springer
15 years 3 months ago
2007
Springer
We present a general biometric hash generation scheme based on vector quantization of multiple feature subsets selected with genetic optimization. The quantization of subsets overc...
GECCO
2004
Springer
15 years 2 months ago
2004
Springer
Abstract. Microarrays allow simultaneous measurement of the expression levels of thousands of genes in cells under different physiological or disease states. Because the number of...