775 search results - page 9 / 155 » Memetic Algorithms for Feature Selection on Microarray Data |
ECML
2006
Springer
13 years 11 months ago
2006
Springer
We perform a systematic evaluation of feature selection (FS) methods for support vector machines (SVMs) using simulated high-dimensional data (up to 5000 dimensions). Several findi...
BMCBI
2007
13 years 7 months ago
2007
Background: Classification studies using gene expression datasets are usually based on small numbers of samples and tens of thousands of genes. The selection of those genes that a...
CIKM
2010
Springer
13 years 4 months ago
2010
Springer
In the standard formalization of supervised learning problems, a datum is represented as a vector of features without prior knowledge about relationships among features. However, ...
GECCO
2009
Springer
14 years 2 days ago
2009
Springer
The Portfolio Optimization problem consists of the selection of a group of assets to a long-term fund in order to minimize the risk and maximize the return of the investment. This...
SSPR
2004
Springer
14 years 25 days ago
2004
Springer
High-resolution spectroscopy is a powerful industrial tool. The number of features (wavelengths) in these data sets varies from several hundreds up to a thousand. Relevant feature ...