Abstract
The construction of correct recognition procedures based on incorrect elementary classifiers (fragments of learning object descriptions) is studied for problems with integer data. A number of special Boolean functions are considered as the correction functions. A family of correct sets of elementary classifiers (a family of correctors) is constructed at the learning stage. An original technique is proposed to construct this family. The technique helps find the most informative correctors without significant time expenditures. The results are given for the constructed recognition procedures tested on real problems. Earlier studies dealt with the simplest case when the elementary classifier was a separate feature value in the description of a learning object.
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