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Proceedings of the Third International Conference on Intelligent Human Computer Interaction (IHCI 2011), Prague, Czech Republic, August, 2011 pp 243–254Cite as

Boolean Factor Analysis by Expectation-Maximization Method

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 179))

Abstract

Boolean factor analysis is one of the most efficient methods to reveal and to overcome informational redundancy of high-dimensional binary signals. In the present study, we introduce new Expectation-Maximization method which maximizes the likelihood of Boolean factor analysis solution. Using the so-called bars problem benchmark, we compare efficiencies of the proposed method with Dendritic Inhibition neural network.

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References

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Acknowledgments

This paper has been partly elaborated in the framework of the IT4Innovations Centre of Excellence project, reg. no. CZ.1.05/1.1.00/02.0070, supported by Operational Programme ’Research and Development for Innovations’ funded by Structural Funds of the European Union and state budget of the Czech Republic and partly supported by the projects AV0Z10300504, GACR P202/10/0262, 205/09/1079.

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Authors and Affiliations

  1. Institute of Higher Nervous Activity and Neurophysiology, Russian Academy of Sciences, Moscow, Russia

    Alexander A. Frolov

  2. Institute of Computer Science, Academy of Sciences of the Czech Republic, Prague, Czech Republic

    Dušan Húsek

  3. VSB Technical University of Ostrava, Ostrava, Czech Republic

    Pavel Yu. Polyakov

Authors
  1. Alexander A. Frolov
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  2. Dušan Húsek
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  3. Pavel Yu. Polyakov
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Corresponding author

Correspondence to Alexander A. Frolov .

Editor information

Editors and Affiliations

  1. , Faculty of Electrical Engineering and, Technical University of Ostrava, 17. listopadu 15, Ostrava-Poruba, 708 33, Czech Republic

    Miloš Kudělka

  2. , Faculty of Mathematics and Physics, Charles University, Malostranske nam. 25, Praha, 118 00, Czech Republic

    Jaroslav Pokorný

  3. , Faculty of Electrical Engineering and, Technical University of Ostrava, 17. listopadu 15, Ostrava-Poruba, 708 33, Czech Republic

    Václav Snášel

  4. Auburn, 98071, USA

    Ajith Abraham

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Frolov, A.A., Húsek, D., Polyakov, P.Y. (2013). Boolean Factor Analysis by Expectation-Maximization Method. In: Kudělka, M., Pokorný, J., Snášel, V., Abraham, A. (eds) Proceedings of the Third International Conference on Intelligent Human Computer Interaction (IHCI 2011), Prague, Czech Republic, August, 2011. Advances in Intelligent Systems and Computing, vol 179. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31603-6_21

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  • DOI: https://doi.org/10.1007/978-3-642-31603-6_21

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-31602-9

  • Online ISBN: 978-3-642-31603-6

  • eBook Packages: EngineeringEngineering (R0)

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