1382 search results - page 9 / 277 » An Experimental Study on Feature Subset Selection Methods |
166
Voted
BMCBI
2005
15 years 3 months ago
2005
Background: Accurate diagnosis of cancer subtypes remains a challenging problem. Building classifiers based on gene expression data is a promising approach; yet the selection of n...
124
Voted
ISNN
2007
Springer
15 years 9 months ago
2007
Springer
In this paper, we present two novel memetic algorithms (MAs) for gene selection. Both are synergies of Genetic Algorithm (wrapper methods) and local search methods (filter methods...
135
Voted
PAMI
2007
15 years 3 months ago
2007
—The choice of a color model is of great importance for many computer vision algorithms (e.g., feature detection, object recognition, and tracking) as the chosen color model indu...
239
Voted
ACL
2009
15 years 1 months ago
2009
In text categorization, feature selection (FS) is a strategy that aims at making text classifiers more efficient and accurate. However, when dealing with a new task, it is still d...
181
Voted
BMCBI
2004
15 years 3 months ago
2004
Background: The identification of relevant biological features in large and complex datasets is an important step towards gaining insight in the processes underlying the data. Oth...