A bayes algorithm for the multitask pattern recognition problem - direct approach

Authors:
Edward Puchala
Affiliations:
Wroclaw University of Technology, Chair of Systems and Computer Networks, Wroclaw, Poland
Venue:
ICCS'03 Proceedings of the 2003 international conference on Computational science: PartIII
Year:
2003

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Abstract

The paper presents algorithms of the multitask recognition for the direct approach. First one, with full probabilistic information and second one, algorithms with learning sequence. Algorithm with full probabilistic information was working on basis of Bayes decision theory. Full probabilistic information in a pattern recognition task, denotes a knowledge of the classes probabilities and the class-conditional probability density functions. Optimal algorithm for the selected loss function will be presented. Some tests for algorithm with learning were done.