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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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Related topics

Related topics

50 relations
Ant colony optimization algorithmsAugmented Lagrangian methodAutoencoderBayesian information criterion

Broader (1)

Model selection

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2010
Highly Cited
2010
Honey Bees Mating Optimization algorithm for financial classification problems
Highly Cited
2008
Highly Cited
2008
Improving LBP features for gender classification
Automatic gender classification aims at analyzing the face image to recognize gender with computer, in which feature extraction… 
Highly Cited
2005
Highly Cited
2005
Automatic Time Expression Labeling for English and Chinese Text
In this paper, we describe systems for automatic labeling of time expressions occurring in English and Chinese text as specified… 
Highly Cited
2004
Highly Cited
2004
Genetic algorithms combined with discriminant analysis for key variable identification
Highly Cited
2004
Highly Cited
2004
Improved support vector classification using PCA and ICA feature space modification
Highly Cited
1999
Highly Cited
1999
A New Efficient Approach for Variable Selection Based on Multiregression: Prediction of Gas Chromatographic Retention Times and Response Factors
The selection of the most relevant variable is a frequent problem in the analysis of chemical data, especially now considering… 
Highly Cited
1999
Highly Cited
1999
Development and Validation of a Novel Variable Selection Technique with Application to Multidimensional Quantitative Structure-Activity Relationship Studies
Variable selection is typically a time-consuming and ambiguous procedure in performing quantitative structure−activity… 
Highly Cited
1990
Highly Cited
1990
Automated design of linear tree classifiers
Review
1984
Review
1984
System-Theoretic Representation of Simulation Models
Abstract The representation of simulation models, especially those expressed in discrete event languages, by means of system… 
Highly Cited
1969
Highly Cited
1969
Nonparametric feature selection
Two groups of L -dimensional observations of size N_{1} and N_{2} are known to be random vector variables from two unknown… 
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