66 citations · 80 across the 8 of their papers we have counts for
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cs.LG2019
Selection Heuristics on Semantic Genetic Programming for Classification Problems
Claudia N. Sánchez, Mario Graff
Individual's semantics have been used for guiding the learning process of Genetic Programming solving supervised learning problems. The semantics has been used to proposed novel ge…
cs.LG2019
Improving classification performance by feature space transformations and model selection
Jose Ortiz-Bejar, Eric S. Tellez, Mario Graff
Improving the performance of classifiers is the realm of feature mapping, prototype selection, and kernel function transformations; these techniques aim for reducing the complexity…