International Conference on Artificial Intelligence and Soft Computing

ICAISC 2010: Artificial Intelligence and Soft Computing pp 388-396

Infosel++: Information Based Feature Selection C++ Library

  • Adam Kachel
  • Jacek Biesiada
  • Marcin Blachnik
  • Włodzisław Duch
Conference paper

DOI: 10.1007/978-3-642-13208-7_49

Volume 6113 of the book series Lecture Notes in Computer Science (LNCS)
Cite this paper as:
Kachel A., Biesiada J., Blachnik M., Duch W. (2010) Infosel++: Information Based Feature Selection C++ Library. In: Rutkowski L., Scherer R., Tadeusiewicz R., Zadeh L.A., Zurada J.M. (eds) Artificial Intelligence and Soft Computing. ICAISC 2010. Lecture Notes in Computer Science, vol 6113. Springer, Berlin, Heidelberg

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.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Adam Kachel
    • 1
  • Jacek Biesiada
    • 1
    • 3
  • Marcin Blachnik
    • 1
  • Włodzisław Duch
    • 2
  1. 1.Electrotechnology DepartmentSilesian University of TechnologyKrasiñskiegoPoland
  2. 2.Department of InformaticsNicolaus Copernicus UniversityToruñPoland
  3. 3.Division of Biomedical InformaticsChildren’s Hospital Research FoundationOhio