4 search results - page 1 / 1 » Tolerance-based and Fuzzy-Rough Feature Selection |
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...
ISDA
2009
IEEE
13 years 11 months ago
2009
IEEE
For supervised learning, feature selection algorithms attempt to maximise a given function of predictive accuracy. This function usually considers the ability of feature vectors t...
FUZZIEEE
2007
IEEE
13 years 11 months ago
2007
IEEE
— One of the main obstacles facing the application of computational intelligence technologies in pattern recognition (and indeed in many other tasks) is that of dataset dimension...
RSKT
2010
Springer
13 years 3 months ago
2010
Springer
Traditionally, membership to the fuzzy-rough lower, resp. upper approximation is determined by looking only at the worst, resp. best performing object. Consequently, when applied t...