775 search results - page 17 / 155 » Memetic Algorithms for Feature Selection on Microarray Data |
MCS
2007
Springer
14 years 1 months ago
2007
Springer
Abstract. We report on our recent progress in developing an ensemble of classifiers based algorithm for addressing the missing feature problem. Inspired in part by the random subsp...
JMLR
2010
13 years 2 months ago
2010
In this paper we investigate the problem of evaluating ranked lists of biomarkers, which are typically an output of the analysis of high-throughput data. This can be a list of pro...
BMCBI
2010
13 years 7 months ago
2010
Background: Maximizing the utility of DNA microarray data requires optimization of data acquisition through selection of an appropriate scanner setting. To increase the amount of ...
ICDM
2008
IEEE
14 years 1 months ago
2008
IEEE
Zero-norm, defined as the number of non-zero elements in a vector, is an ideal quantity for feature selection. However, minimization of zero-norm is generally regarded as a combi...
IJIT
2004
13 years 9 months ago
2004
A genetic algorithm (GA) based feature subset selection algorithm is proposed in which the correlation structure of the features is exploited. The subset of features is validated a...