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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
2018
Highly Cited
2018
A novel chaotic salp swarm algorithm for global optimization and feature selection
Salp Swarm Algorithm (SSA) is one of the most recently proposed algorithms driven by the simulation behavior of salps. However… 
Highly Cited
2015
Highly Cited
2015
Feature selection based on mutual information
The application of machine learning models such as support vector machine (SVM) and artificial neural networks (ANN) in… 
Highly Cited
2013
Highly Cited
2013
On Similarity Preserving Feature Selection
In the literature of feature selection, different criteria have been proposed to evaluate the goodness of features. In our… 
Highly Cited
2012
Highly Cited
2012
BBA: A Binary Bat Algorithm for Feature Selection
Feature selection aims to find the most important information from a given set of features. As this task can be seen as an… 
Highly Cited
2007
Highly Cited
2007
Filter Methods for Feature Selection - A Comparative Study
Adequate selection of features may improve accuracy and efficiency of classifier methods. There are two main approaches for… 
Highly Cited
2007
Highly Cited
2007
Feature selection methods for text classification
We consider feature selection for text classification both theoretically and empirically. Our main result is an unsupervised… 
Highly Cited
2006
Highly Cited
2006
N-Gram Feature Selection for Authorship Identification
Automatic authorship identification offers a valuable tool for supporting crime investigation and security. It can be seen as a… 
Highly Cited
2005
Highly Cited
2005
Feature selection with decision tree criterion
Classification techniques applicable to real life data are more and more often complex hybrid systems comprising feature… 
Highly Cited
1997
Highly Cited
1997
Feature Selection via Discretization
Discretization can turn numeric attributes into discrete ones. Feature selection can eliminate some irrelevant and/or redundant… 
Highly Cited
1992
Highly Cited
1992
Genetic algorithms as a tool for feature selection in machine learning
An approach being explored to improve the usefulness of machine learning techniques for generating classification rules for… 
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