ABSTRACT
We show that under certain general circumstances there exists a choice of classifier rule length versus number of classifier rules, when given a fixed length classifier system, that maximizes performance of the system.
- D. Ashlock. Binary Series Prediction Contest, In WCCI 2006 and CEC 2006 competitions, http://eldar.mathstat.uoguelph.ca/dashlock/CEC05/BSP.html, 2006.Google Scholar
- D. E. Goldberg. Genetic Algorithms in Search, Optimization, and Machine Learning. Addison-Wesley, New York, 1989. Google ScholarDigital Library
Index Terms
- Quality versus quantity of rules in a classifier jury: extended abstract
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