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IAPR Workshop on Artificial Neural Networks in Pattern Recognition

ANNPR 2012: Artificial Neural Networks in Pattern Recognition pp 93–103Cite as

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Statistical Recognition of a Set of Patterns Using Novel Probability Neural Network

Statistical Recognition of a Set of Patterns Using Novel Probability Neural Network

  • Andrey V. Savchenko22 
  • Conference paper
  • 1298 Accesses

  • 3 Citations

Part of the Lecture Notes in Computer Science book series (LNAI,volume 7477)

Abstract

Since the works by Specht, the probabilistic neural networks (PNNs) have attracted researchers due to their ability to increase training speed and their equivalence to the optimal Bayesian decision of classification task. However, it is known that the PNN’s conventional implementation is not optimal in statistical recognition of a set of patterns. In this article we present the novel modification of the PNN and prove that it is optimal in this task with general assumptions of the Bayes classifier. The modification is based on a reduction of recognition task to homogeneity testing problem. In the experiment we examine a problem of authorship attribution of Russian texts. Our results support the statement that the proposed network provides better accuracy and is much more resistant to change the smoothing parameter of Gaussian kernel function in comparison with the original PNN.

Keywords

  • Statistical pattern recognition
  • sets of patterns
  • probabilistic neural network
  • hypothesis test for samples homogeneity

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Author information

Authors and Affiliations

  1. National Research University Higher School of Economics, Nizhniy Novgorod, Russian Federation

    Andrey V. Savchenko

Authors
  1. Andrey V. Savchenko
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Editor information

Editors and Affiliations

  1. Fondazione Bruno Kessler (FBK), 38123, Trento, Italy

    Nadia Mana

  2. Institute of Neural Information Processing, University of Ulm, 89069, Ulm, Germany

    Friedhelm Schwenker

  3. Dipartimento di Ingegneria dell’Informazione, Università di Siena, 53100, Siena, Italy

    Edmondo Trentin

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© 2012 Springer-Verlag Berlin Heidelberg

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Savchenko, A.V. (2012). Statistical Recognition of a Set of Patterns Using Novel Probability Neural Network. In: Mana, N., Schwenker, F., Trentin, E. (eds) Artificial Neural Networks in Pattern Recognition. ANNPR 2012. Lecture Notes in Computer Science(), vol 7477. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33212-8_9

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  • DOI: https://doi.org/10.1007/978-3-642-33212-8_9

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  • Print ISBN: 978-3-642-33211-1

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