Abstract
This paper describes the application of the recently developed "genetic programming" paradigm to the problem of concept formation and decision tree induction.
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References
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Koza, John R. Genetic Programming: A Paradigm for Genetically Breeding Populations of Computer Programs to Solve Problems. Stanford University Computer Science Department Technical Report STAN-CS-90-1314. 1990a.
Koza, John R. Evolution and co-evolution of computer programs to control independently-acting agents. Proceedings of Conference on Simulation of Adaptive Behavior.. Cambridge, MA: MIT Press. 1990b.
Quinlan, J. Induction of decision trees. Machine Learning 1(1), 81–106, 1986.
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© 1991 Springer-Verlag Berlin Heidelberg
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Koza, J.R. (1991). Concept formation and decision tree induction using the genetic programming paradigm. In: Schwefel, HP., Männer, R. (eds) Parallel Problem Solving from Nature. PPSN 1990. Lecture Notes in Computer Science, vol 496. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0029742
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DOI: https://doi.org/10.1007/BFb0029742
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