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… (More)
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Topic mentions per year

Topic mentions per year

1958-2019
01000200019582018

Papers overview

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Highly Cited
2015
Highly Cited
2015
The application of machine learning models such as support vector machine (SVM) and artificial neural networks (ANN) in… (More)
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Highly Cited
2005
Highly Cited
2005
Feature selection is an important problem for pattern classification systems. We study how to select good features according to… (More)
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Highly Cited
2004
Highly Cited
2004
In this paper, we identify two issues involved in developing an automated feature subset selection algorithm for unlabeled data… (More)
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Highly Cited
2004
Highly Cited
2004
Feature selection is applied to reduce the number of feature s in many applications where data has hundreds or thousands of… (More)
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Highly Cited
2003
Highly Cited
2003
Variable and feature selection have become the focus of much research in areas of application for which datasets with tens or… (More)
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Highly Cited
2002
Highly Cited
2002
Feature selection plays an important role in classifying systems such as neural networks (NNs). We use a set of attributes which… (More)
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Highly Cited
2000
Highly Cited
2000
We introduce a method of feature selection for Support Vecto r Machines. The method is based upon finding those features which… (More)
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Highly Cited
1998
Highly Cited
1998
A central problem in machine learning is identifying a repre sentative set of features from which to construct a classification… (More)
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Highly Cited
1996
Highly Cited
1996
In this paper, we examine a method for feature subset selection based on Information Theory. Initially, a framework for de ning… (More)
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Highly Cited
1977
Highly Cited
1977
A feature subset selection algorithm based on branch and bound techniques is developed to select the best subset of m features… (More)
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