Michel Camilleri, Filippo Neri, "Parameter Optimization in Decision Tree Learning by Using Simple Genetic Algorithms," WSEAS Transactions on Computers, vol. 13, pp. 582-591, 2014, DOI:
Michel Camilleri, Filippo Neri. Parameter Optimization in Decision Tree Learning by Using Simple Genetic Algorithms.
WSEAS Transactions on Computers. 2014;13:582-591.
WSEAS Transactions on Computers
Print ISSN: 1109-2750, E-ISSN: 2224-2872
Volume 13, 2014
Parameter Optimization in Decision Tree Learning by Using Simple Genetic Algorithms
Authors: ,
Abstract: The process of identifying the optimal parameters for an optimization algorithm or a machine learning one is a costly combinatorial problem because it involves the search of a large, possibly infinite, space of candidate parameter sets. Our work compares grid search with a simple genetic algorithm when used to find the optimal parameter setting for an ID3 like learner operating on given datasets.
Pages: 582-591 WSEAS Transactions on Computers, ISSN / E-ISSN: 1109-2750 / 2224-2872, Volume 13, 2014, Art. #52 DOI: *As the DOI is a unique identifier, it is already available in the pdf version.
**The DOI link will be activated in the first midst of January 2026.
×
Citation Tools