962 search results - page 57 / 193 » Redundancy based feature selection for microarray data |
FUZZIEEE
2007
IEEE
15 years 4 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...
CIKM
2011
Springer
13 years 9 months ago
2011
Springer
Traditional feature selection methods assume that the data are independent and identically distributed (i.i.d.). In real world, tremendous amounts of data are distributed in a net...
RSKT
2009
Springer
15 years 2 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...
EVOW
2006
Springer
15 years 1 months ago
2006
Springer
Abstract. Computational analysis of mass spectrometric (MS) proteomic data from sera is of potential relevance for diagnosis, prognosis, choice of therapy, and study of disease act...
BMCBI
2007
14 years 10 months ago
2007
Background: The availability of microarrays measuring thousands of genes simultaneously across hundreds of biological conditions represents an opportunity to understand both indiv...