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» An Experimental Study on Feature Subset Selection Methods
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BMCBI
2008
109views more  BMCBI 2008»
15 years 4 months ago
MetaFIND: A feature analysis tool for metabolomics data
Background: Metabolomics, or metabonomics, refers to the quantitative analysis of all metabolites present within a biological sample and is generally carried out using NMR spectro...
Kenneth Bryan, Lorraine Brennan, Padraig Cunningha...
147
Voted
JMLR
2010
161views more  JMLR 2010»
14 years 10 months ago
Feature Selection for Text Classification Based on Gini Coefficient of Inequality
A number of feature selection mechanisms have been explored in text categorization, among which mutual information, information gain and chi-square are considered most effective. ...
Sanasam Ranbir Singh, Hema A. Murthy, Timothy A. G...
143
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WAPCV
2007
Springer
15 years 10 months ago
Modeling the Dynamics of Feature Binding During Object-Selective Attention
We present a biologically plausible computational model for solving the visual feature binding problem. The binding problem appears to be due to the distributed nature of visual pr...
Albert L. Rothenstein, John K. Tsotsos
ISNN
2005
Springer
15 years 9 months ago
Feature Selection and Intrusion Detection Using Hybrid Flexible Neural Tree
Current Intrusion Detection Systems (IDS) examine all data features to detect intrusion or misuse patterns. Some of the features may be redundant or contribute little (if anything)...
Yuehui Chen, Ajith Abraham, Ju Yang
ISMIS
2011
Springer
14 years 6 months ago
Evaluation of Feature Combination Approaches for Text Categorisation
Text categorisation relies heavily on feature selection. Both the possible reduction in dimensionality as well as improvements in classification performance are highly desirable. ...
Robert Neumayer, Kjetil Nørvåg