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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… Expand
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Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2015
2015
Variation studies with Matlab/Simulink models are often limited to a handful of variation subjects due to the efforts involved. A… Expand
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2014
2014
Security in computer networks has become a critical point for many organizations, but keeping data integrity demands time and… Expand
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2013
2013
 
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2011
2011
A complete system is proposed to generate features from raw EEG data and qausi-optimally reduce the feature set based on… Expand
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Review
2010
Review
2010
We introduce a new standalone widely applicable software library for feature selection (also known as attribute or variable… Expand
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2008
2008
An automated bank teller machine (ATM) is provided which is characteristically easy to configure, regardless of whether a… Expand
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2002
2002
A software package developed for the purpose of feature selection in statistical pattern recognition is presented. The software… Expand
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Review
2002
Review
2002
Recent advances in the statistical methodology for selecting optimal subsets of features for data representation and… Expand
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