Case- and rule-based algorithms for the contextual pattern recognition problem

Authors:
Michal Wozniak
Affiliations:
Systems and Computer Networks, Wroclaw University of Technology, Wroclaw, Poland
Venue:
ICCSA'03 Proceedings of the 2003 international conference on Computational science and its applications: PartI
Year:
2003

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Abstract

This paper deals with the concept of information unification and its application to the contextual pattern recognition task. The concept of the recognition and the rule-based algorithm with learning, based on the probabilistic model is presented. The machine learning algorithm based on statistical tests for the recognition of controlled Markov chains is shown. Idea of information unification via transforming the expert rules into the learning set is derived.