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Feature selection

Known as: Feature selection problem, Input selection, Feature subset selection 
In machine learning and statistics, feature selection, also known as variable selection, attribute selection or variable subset selection, is the… 
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Papers overview

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2016
2016
We present the Vancouver Event and Relation System for Extraction (VERSE) 1 as a competing system for three subtasks of the… 
2011
2011
Missing data techniques (MDTs) have been widely employed and shown to improve speech recognition results under noisy conditions… 
2010
2010
In the present work, we carried out a quantitative structure-activity relationship (QSAR) study, using 15 phenolic compounds with… 
2009
2009
We offer in this article, a method for text extraction in images issued from city scenes. This method is used in the French… 
2007
2007
The device has a winding drum with thread guide and a rotatable disc having pins for successively moving yarn coils from the drum… 
2007
2007
A novel technique is proposed for improving the standard Vapnik-Chervonenkis (VC) dimension estimate for the Support Vector… 
2006
2006
A large regional geochemical data set of O-horizon samples from a 188,000 km2 area in the European Arctic, analysed for 38… 
Highly Cited
2003
Highly Cited
2003
Feature subset selection is a well-known pattern recognition problem, which aims to reduce the number of features used in… 
2003
2003
In this paper, we have presented a feature importance ranking methodology based on the stochastic radial basis function neural… 
1997
1997
\Ve JH't'::wnt statistical rnodels of Japanese dependency analysis aud report results of some experiments to in vestigate the…