5046 search results - page 6 / 1010 » Feature Selection from Huge Feature Sets |
ISMB
1993
13 years 8 months ago
1993
Weintroduce a parallel approach, "DT-SELECT," for selecting features used by inductive learning algorithms to predict protein secondary structure. DT-SELECTis able to ra...
ESANN
2006
13 years 8 months ago
2006
Random Forests were introduced by Breiman for feature (variable) selection and improved predictions for decision tree models. The resulting model is often superior to AdaBoost and ...
PAA
2006
13 years 7 months ago
2006
Feature selection aims to choose a feature subset that has the most discriminative information from the original feature set. In practical cases, it is preferable to select a featu...
ICMCS
2005
IEEE
14 years 29 days ago
2005
IEEE
Little attention has been paid so far to physiological signals for emotion recognition compared to audio-visual emotion channels, such as facial expressions or speech. In this pap...
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...