11 search results - page 1 / 3 » Semi-Supervised 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...
NIPS
2007
13 years 6 months ago
2007
We present a new and efficient semi-supervised training method for parameter estimation and feature selection in conditional random fields (CRFs). In real-world applications suc...
WEBI
2005
Springer
13 years 10 months ago
2005
Springer
Document clustering is a very hard task in Automatic Text Processing since it requires to extract regular patterns from a document collection without a priori knowledge on the cat...