Skip to main content
SpringerLink
Log in

Recognition of Properties by Probabilistic Neural Networks

  • Conference paper
Book cover Artificial Neural Networks – ICANN 2009 (ICANN 2009)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 5769))

Included in the following conference series:

Abstract

The statistical pattern recognition based on Bayes formula implies the concept of mutually exclusive classes. This assumption is not applicable when we have to identify some non-exclusive properties and therefore it is unnatural in biological neural networks. Considering the framework of probabilistic neural networks we propose statistical identification of non-exclusive properties by using one-class classifiers.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Allwein, E.L., Schapire, R.E., Singer, Y.: Reducing multiclass to binary: a unifying approach for margin classifiers. Journal of Machine Learning Research 1, 113–141 (2001)

    MathSciNet  MATH  Google Scholar 

  2. Dietterich, T.G., Bakiri, G.: Solving Multiclass Learning Problems via Error-Correcting Output Codes. Journal of Artif. Intell. Res. 2, 263–286 (1995)

    MATH  Google Scholar 

  3. Grim, J.: Neuromorphic features of probabilistic neural networks. Kybernetika 43(5), 697–712 (2007)

    MathSciNet  MATH  Google Scholar 

  4. Grim, J., Hora, J.: Iterative principles of recognition in probabilistic neural networks. Neural Networks, Special Issue 21(6), 838–846 (2008)

    Article  MATH  Google Scholar 

  5. Grim, J., Kittler, J., Pudil, P., Somol, P.: Information analysis of multiple classifier fusion. In: Kittler, J., Roli, F. (eds.) MCS 2001. LNCS, vol. 2096, pp. 168–177. Springer, Heidelberg (2001)

    Chapter  Google Scholar 

  6. Grim, J.: Extraction of binary features by probabilistic neural networks. In: Kůrková, V., Neruda, R., Koutník, J. (eds.) ICANN 2008,, Part II. LNCS, vol. 5164, pp. 52–61. Springer, Heidelberg (2008)

    Chapter  Google Scholar 

  7. Grother, P.J.: NIST special database 19: handprinted forms and characters database, Technical Report and CD ROM (1995)

    Google Scholar 

  8. Hastie, T., Tibshirani, R.: Classification by pairwise coupling. The Annals of Statistics 2(26), 451–471 (1998)

    MathSciNet  MATH  Google Scholar 

  9. Haykin, S.: Neural Networks: a comprehensive foundation. Morgan Kaufman, San Francisco (1993)

    MATH  Google Scholar 

  10. Specht, D.F.: Probabilistic neural networks for classification, mapping or associative memory. Proc. IEEE Int. Conf. on Neural Networks I, 525–532 (1988)

    Article  Google Scholar 

  11. Tax, D.M.J.: One-class classification. PhD thesis, Delft University of Technology, The Netherlands (2001)

    Google Scholar 

  12. Tax, D.M.J., Duin, R.P.W.: Combining one-class classifiers. In: Kittler, J., Roli, F. (eds.) MCS 2001. LNCS, vol. 2096, pp. 299–308. Springer, Heidelberg (2001)

    Chapter  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Institute of Information Theory and Automation, P.O. Box 18, 18208, Prague 8, Czech Republic

    Jiří Grim

  2. Faculty of Nuclear Science and Physical Engineering, Trojanova 13, CZ-120 00, Prague 2, Czech Republic

    Jan Hora

Authors
  1. Jiří Grim
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Jan Hora
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Dipartimento di Elettronica, Politecnico di Milano, Piazza L. da Vinci 32, 20133, Milano, Italy

    Cesare Alippi

  2. Department of Electrical and Computer Engineering, University of Cyprus, 75 Kallipoleos Street, 1678, Nicosia, Cyprus

    Marios Polycarpou , Christos Panayiotou  & Georgios Ellinas ,  & 

Rights and permissions

Reprints and permissions

Copyright information

© 2009 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Grim, J., Hora, J. (2009). Recognition of Properties by Probabilistic Neural Networks. In: Alippi, C., Polycarpou, M., Panayiotou, C., Ellinas, G. (eds) Artificial Neural Networks – ICANN 2009. ICANN 2009. Lecture Notes in Computer Science, vol 5769. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04277-5_17

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-04277-5_17

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-04276-8

  • Online ISBN: 978-3-642-04277-5

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation