Infosel++: information based feature selection C++ library

Authors:
Adam Kachel;Jacek Biesiada;Marcin Blachnik;Włodzisław Duch
Affiliations:
Silesian University of Technology, Electrotechnology Department, Katowice, Poland;Silesian University of Technology, Electrotechnology Department, Katowice, Poland and Division of Biomedical Informatics, Children's Hospital Research Foundation, Cincinnati, Ohio;Silesian University of Technology, Electrotechnology Department, Katowice, Poland;Department of Informatics, Nicolaus Copernicus University, Toruń, Poland
Venue:
ICAISC'10 Proceedings of the 10th international conference on Artificial intelligence and soft computing: Part I
Year:
2010

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Abstract

A large package of algorithms for feature ranking and selection has been developed. Infosel++, Information Based Feature Selection C++ Library, is a collection of classes and utilities based on probability estimation that can help developers of machine learning methods in rapid interfacing of feature selection algorithms, aid users in selecting an appropriate algorithm for a given task (embed feature selection in machine learning task), and aid researchers in developing new algorithms, especially hybrid algorithms for feature selection. A few examples of such possibilities are presented.