A CONNECTIONIST APPROACH IN BAYESIAN CLASSIFICATION

Luminita State, Catalina Cocianu, Panayiotis Vlamos, Viorica Stefanescu

2007

Abstract

The research reported in the paper aims the development of a suitable neural architecture for implementing the Bayesian procedure in solving pattern recognition problems. The proposed neural system is based on an inhibitive competition installed among the hidden neurons of the computation layer. The local memories of the hidden neurons are computed adaptively according to an estimation model of the parameters of the Bayesian classifier. Also, the paper reports a series of qualitative attempts in analyzing the behavior of a new learning procedure of the parameters an HMM by modeling different types of stochastic dependencies on the space of states corresponding to the underlying finite automaton. The approach aims the development of some new methods in processing image and speech signals in solving pattern recognition problems. Basically, the attempts are stated in terms of weighting processes and deterministic/non deterministic Bayesian procedures.

References

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  2. Devroye, L., Gyorfi, L., Lugosi, G., 1996. A Probabilistic Theory of Pattern Recognition, Springer Verlag
  3. Husmeier, D., 2000 Learning Non-stationary Conditional Probability Distributions. In Neural Networks, Vol. 13
  4. Lampinen, J., Vehtari,2001. A. Bayesian Approach for Neural Networks: Review and Case Studies. In Neural Networks, Vol. 14
  5. State, L.. C. Cocianu, 2001. Information Based Algorithms in Signal Processing. In Proceedings of SYNASC'2001, Timisoara, 3-5 octombrie.
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Paper Citation


in Harvard Style

State L., Cocianu C., Vlamos P. and Stefanescu V. (2007). A CONNECTIONIST APPROACH IN BAYESIAN CLASSIFICATION . In Proceedings of the Ninth International Conference on Enterprise Information Systems - Volume 2: ICEIS, ISBN 978-972-8865-89-4, pages 185-190. DOI: 10.5220/0002346401850190


in Bibtex Style

@conference{iceis07,
author={Luminita State and Catalina Cocianu and Panayiotis Vlamos and Viorica Stefanescu},
title={A CONNECTIONIST APPROACH IN BAYESIAN CLASSIFICATION},
booktitle={Proceedings of the Ninth International Conference on Enterprise Information Systems - Volume 2: ICEIS,},
year={2007},
pages={185-190},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002346401850190},
isbn={978-972-8865-89-4},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Ninth International Conference on Enterprise Information Systems - Volume 2: ICEIS,
TI - A CONNECTIONIST APPROACH IN BAYESIAN CLASSIFICATION
SN - 978-972-8865-89-4
AU - State L.
AU - Cocianu C.
AU - Vlamos P.
AU - Stefanescu V.
PY - 2007
SP - 185
EP - 190
DO - 10.5220/0002346401850190