114 search results - page 6 / 23 » Feature Subset Selection and Ranking for Data Dimensionality... |
ICASSP
2008
IEEE
14 years 3 months ago
2008
IEEE
This paper describes an approach for detecting early cognitive loss using medication adherence behavior. We investigate the discriminative power of a comprehensive set of recurren...
CIKM
2009
Springer
14 years 3 months ago
2009
Springer
Modern search engines have to be fast to satisfy users, so there are hard back-end latency requirements. The set of features useful for search ranking functions, though, continues...
JMLR
2010
13 years 3 months ago
2010
Identifying a subset of features that preserves classification accuracy is a problem of growing importance, because of the increasing size and dimensionality of real-world data se...
ISNN
2007
Springer
14 years 2 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...
AIA
2007
13 years 10 months ago
2007
Sequential forward selection (SFS) is one of the most widely used feature selection procedures. It starts with an empty set and adds one feature at each step. The estimate of the ...