Sciweavers

775 search results - page 41 / 155
» Memetic Algorithms for Feature Selection on Microarray Data
Sort
View
ICML
2007
IEEE
14 years 8 months ago
Feature selection in a kernel space
We address the problem of feature selection in a kernel space to select the most discriminative and informative features for classification and data analysis. This is a difficult ...
Bin Cao, Dou Shen, Jian-Tao Sun, Qiang Yang, Zheng...
EUROGP
2004
Springer
133views Optimization» more  EUROGP 2004»
14 years 1 months ago
Lymphoma Cancer Classification Using Genetic Programming with SNR Features
Lymphoma cancer classification with DNA microarray data is one of important problems in bioinformatics. Many machine learning techniques have been applied to the problem and produc...
Jin-Hyuk Hong, Sung-Bae Cho
CIARP
2011
Springer
12 years 7 months ago
A Minority Class Feature Selection Method
Abstract. In many classification problems, and in particular in medical domains, it is common to have an unbalanced class distribution. This pose problems to classifiers as they ...
German Cuaya, Angélica Muñoz-Mel&eac...
ICANN
2009
Springer
13 years 5 months ago
Mining Rules for the Automatic Selection Process of Clustering Methods Applied to Cancer Gene Expression Data
Different algorithms have been proposed in the literature to cluster gene expression data, however there is no single algorithm that can be considered the best one independently on...
André C. A. Nascimento, Ricardo Bastos Cava...
CBMS
2007
IEEE
14 years 1 months ago
Influence of Dictionary Size on the Lossless Compression of Microarray Images
A key challenge in the management of microarray data is the large size of images that constitute the output of microarray experiments. Therefore, only the expression values extrac...
Robert Bierman, Rahul Singh