Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Aldeia, Guilherme Seidyo Imai"'
Publikováno v:
GSI Aldeia, FO de Fran\c{c}a, and WG La Cava. 2024. Minimum variance threshold for epsilon-lexicase selection. In Genetic and Evolutionary Computation Conference (GECCO '24)
Parent selection plays an important role in evolutionary algorithms, and many strategies exist to select the parent pool before breeding the next generation. Methods often rely on average error over the entire dataset as a criterion to select the par
Externí odkaz:
http://arxiv.org/abs/2404.05909
Publikováno v:
Aldeia, G.S.I., de Franca, F.O. Interpretability in symbolic regression: a benchmark of explanatory methods using the Feynman data set. Genet Program Evolvable Mach 23, 309-349 (2022)
In some situations, the interpretability of the machine learning models plays a role as important as the model accuracy. Interpretability comes from the need to trust the prediction model, verify some of its properties, or even enforce them to improv
Externí odkaz:
http://arxiv.org/abs/2404.05908
Publikováno v:
GSI Aldeia, FO de Fran\c{c}a, WG La Cava. 2024. Inexact Simplification of Symbolic Regression Expressions with Locality-sensitive Hashing. In Genetic and Evolutionary Computation Conference (GECCO '24)
Symbolic regression (SR) searches for parametric models that accurately fit a dataset, prioritizing simplicity and interpretability. Despite this secondary objective, studies point out that the models are often overly complex due to redundant operati
Externí odkaz:
http://arxiv.org/abs/2404.05898
The Interaction-Transformation (IT) is a new representation for Symbolic Regression that restricts the search space into simpler, but expressive, function forms. This representation has the advantage of creating a smoother search space unlike the spa
Externí odkaz:
http://arxiv.org/abs/1902.03983
Publikováno v:
Genetic Programming & Evolvable Machines; Sep2022, Vol. 23 Issue 3, p309-349, 41p
