Zobrazeno 1 - 10
of 345
pro vyhledávání: '"Banzhaf, Wolfgang"'
Autor:
Bakurov, Illya, Giuliani, Pablo, Godbey, Kyle, Haut, Nathan, Banzhaf, Wolfgang, Nazarewicz, Witold
Here we report first results of applying Genetic Programming to obtain equations for constructing reduced-order models of quantum systems, with a particular interest in nuclear Density Functional Theory. We employ the reduced basis method to obtain r
Externí odkaz:
http://arxiv.org/abs/2406.04279
Existing genetic programming (GP) methods are typically designed based on a certain representation, such as tree-based or linear representations. These representations show various pros and cons in different domains. However, due to the complicated r
Externí odkaz:
http://arxiv.org/abs/2405.14268
Sharpness-Aware Minimization (SAM) was recently introduced as a regularization procedure for training deep neural networks. It simultaneously minimizes the fitness (or loss) function and the so-called fitness sharpness. The latter serves as a measure
Externí odkaz:
http://arxiv.org/abs/2405.10267
In recent years, genetic programming (GP)-based evolutionary feature construction has achieved significant success. However, a primary challenge with evolutionary feature construction is its tendency to overfit the training data, resulting in poor ge
Externí odkaz:
http://arxiv.org/abs/2405.06869
Autor:
Banzhaf, Wolfgang, Bakurov, Illya
In this contribution, we discuss the basic concepts of genotypes and phenotypes in tree-based GP (TGP), and then analyze their behavior using five benchmark datasets. We show that TGP exhibits the same behavior that we can observe in other GP represe
Externí odkaz:
http://arxiv.org/abs/2402.08011