19 search results - page 1 / 4 » A Time-Reduction Strategy to Feature Selection in Rough Set ... |
RSKT
2009
Springer
13 years 9 months ago
2009
Springer
In rough set theory, the problem of feature selection aims to retain the discriminatory power of original features. Many feature selection algorithms have been proposed, however, q...
IWANN
2011
Springer
12 years 7 months ago
2011
Springer
In recent years, the increasing interest in fuzzy rough set theory has allowed the definition of novel accurate methods for feature selection. Although their stand-alone applicati...
CORR
2010
Springer
13 years 2 months ago
2010
Springer
In this paper we describe a procedure to reduce the size of the input feature vector. A complex pattern recognition problem like face recognition involves huge dimension of input ...
FUZZIEEE
2007
IEEE
13 years 11 months ago
2007
IEEE
Abstract— Feature Selection (FS) is a technique for dimensionality reduction. Its aims are to select a subset of the original features of a dataset which are rich in the most use...
PRL
2007
13 years 4 months ago
2007
: We propose a new feature selection strategy based on rough sets and Particle Swarm Optimization (PSO). Rough sets has been used as a feature selection method with much success, b...