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

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Artificial Intelligence and Soft Computing (ICAISC 2010)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 6113))

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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.

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Author information

Authors and Affiliations

  1. Electrotechnology Department, Silesian University of Technology, Katowice, Krasiñskiego, 8, Poland

    Adam Kachel, Jacek Biesiada & Marcin Blachnik

  2. Department of Informatics, Nicolaus Copernicus University, Grudzia̧dzka 5, Toruñ, Poland

    Włodzisław Duch

  3. Division of Biomedical Informatics, Children’s Hospital Research Foundation, 3333 Burnet Ave., Cincinnati, Ohio, 45229

    Jacek Biesiada

Authors
  1. Adam Kachel
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  2. Jacek Biesiada
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  3. Marcin Blachnik
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  4. Włodzisław Duch
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Editor information

Editors and Affiliations

  1. Department of Artificial Intelligence, Academy of Humanities and Economics, Poland

    Leszek Rutkowski

  2. Academy of Humanities and Economics in Łódź,, ul. Rewolucji 1905 nr 64, Łódź, Poland

    Rafał Scherer

  3. Institute of Automatics,, AGH University of Science and Technology, Al. Mickiewicza 30, PL-30-059, Kraków, Poland

    Ryszard Tadeusiewicz

  4. Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, Initiative in Soft Computing (BISC), 94720-1776, Berkeley, CA,  

    Lotfi A. Zadeh

  5. Computational Intelligence Laboratory Department of Electrical and Computer Engineering, University of Louisville, 40292, Louisville, KY

    Jacek M. Zurada

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© 2010 Springer-Verlag Berlin Heidelberg

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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. https://doi.org/10.1007/978-3-642-13208-7_49

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  • DOI: https://doi.org/10.1007/978-3-642-13208-7_49

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-13207-0

  • Online ISBN: 978-3-642-13208-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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