Abstract
This report describes the results of investigations on
the use of genetic programming for learning in pattern
recognition problems. The general idea consists in
evolutionary search in the space of pattern recognition
programs. The solutions are expressed in terms of the
Genetic Programming for Visual Learning language
(GPVISL), described in this work. This paper continues
the work initiated in Krawiec_2000.
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