218 search results - page 6 / 44 » A Neural Adaptive Algorithm for Feature Selection and Classi... |
AUSAI
2007
Springer
14 years 17 days ago
2007
Springer
Building classification models plays an important role in DNA mircroarray data analyses. An essential feature of DNA microarray data sets is that the number of input variables (gen...
GECCO
2007
Springer
14 years 2 months ago
2007
Springer
Selecting the most relevant factors from genetic profiles that can optimally characterize cellular states is of crucial importance in identifying complex disease genes and biomark...
IJCNN
2007
IEEE
14 years 2 months ago
2007
IEEE
Abstract - We discuss an ensemble-of-classifiers based algorithm for the missing feature problem. The proposed approach is inspired in part by the random subspace method, and in pa...
BMCBI
2010
13 years 8 months ago
2010
Background: Feature selection techniques are critical to the analysis of high dimensional datasets. This is especially true in gene selection from microarray data which are common...
SSPR
2004
Springer
14 years 1 months ago
2004
Springer
We focus on characterizing spatial region data when distinct classes of structural patterns are present. We propose a novel statistical approach based on a supervised framework for...