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Feature Selection Toolbox

Feature Selection Toolbox (FST) is software primarily for feature selection in the machine learning domain, written in C++, developed at the… 
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Related topics

Related topics

15 relations
Branch and boundC++Data miningFeature selection

Papers overview

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2014
2014
Application of feast (Feature Selection Toolbox) in ids (Intrusion detection Systems)
Security in computer networks has become a critical point for many organizations, but keeping data integrity demands time and… 
2011
2011
An EEG feature selection toolbox for EEGLAB in the matlab environment
A complete system is proposed to generate features from raw EEG data and qausi-optimally reduce the feature set based on… 
2008
2008
Multi-channel Flexible Local Discriminant Bases for Classiflcation of Left/Right Finger Movement Imagery Related EEG
An automated bank teller machine (ATM) is provided which is characteristically easy to configure, regardless of whether a… 
Review
2007
Review
2007
Methodology of selecting the most informative variables for decision-making problems of classification type
The paper gives an overview of feature se- lection (abbreviated FS in the sequel) techniques in sta- tistical pattern recognition… 
2001
2001
Feature Selection Toolbox as a Multi-Purpose Tool in Pattern Recognition
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