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RSCTC
2000
Springer
151views Fuzzy Logic» more  RSCTC 2000»
15 years 1 months ago
Anytime Algorithm for Feature Selection
Feature selection is used to improve performance of learning algorithms by finding a minimal subset of relevant features. Since the process of feature selection is computationally ...
Mark Last, Abraham Kandel, Oded Maimon, Eugene Ebe...
ECML
2006
Springer
15 years 1 months ago
Evaluating Feature Selection for SVMs in High Dimensions
We perform a systematic evaluation of feature selection (FS) methods for support vector machines (SVMs) using simulated high-dimensional data (up to 5000 dimensions). Several findi...
Roland Nilsson, José M. Peña, Johan ...
BMCBI
2010
96views more  BMCBI 2010»
14 years 10 months ago
sdef: an R package to synthesize lists of significant features in related experiments
Background: In microarray studies researchers are often interested in the comparison of relevant quantities between two or more similar experiments, involving different treatments...
Marta Blangiardo, Alberto Cassese, Sylvia Richards...
BMCBI
2005
116views more  BMCBI 2005»
14 years 9 months ago
WEBnm@: a web application for normal mode analyses of proteins
Background: Normal mode analysis (NMA) has become the method of choice to investigate the slowest motions in macromolecular systems. NMA is especially useful for large biomolecula...
Siv Midtun Hollup, Gisle Sælensminde, Nathal...
COLING
2010
14 years 4 months ago
Extracting and Ranking Product Features in Opinion Documents
An important task of opinion mining is to extract people's opinions on features of an entity. For example, the sentence, "I love the GPS function of Motorola Droid"...
Lei Zhang, Bing Liu, Suk Hwan Lim, Eamonn O'Brien-...