Zobrazeno 1 - 10
of 603
pro vyhledávání: '"Banzhaf P"'
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
Autor:
Kelly, Stephen, Park, Daniel S., Song, Xingyou, McIntire, Mitchell, Nashikkar, Pranav, Guha, Ritam, Banzhaf, Wolfgang, Deb, Kalyanmoy, Boddeti, Vishnu Naresh, Tan, Jie, Real, Esteban
Autonomous robots deployed in the real world will need control policies that rapidly adapt to environmental changes. To this end, we propose AutoRobotics-Zero (ARZ), a method based on AutoML-Zero that discovers zero-shot adaptable policies from scrat
Externí odkaz:
http://arxiv.org/abs/2307.16890
This paper examines various methods of computing uncertainty and diversity for active learning in genetic programming. We found that the model population in genetic programming can be exploited to select informative training data points by using a mo
Externí odkaz:
http://arxiv.org/abs/2308.00672
Autor:
Aaron Franklin, Vivian C. Salgueiro, Abigail J. Layton, Rudi Sullivan, Todd Mize, Lucía Vázquez-Iniesta, Samuel T. Benedict, Sudagar S. Gurcha, Itxaso Anso, Gurdyal S. Besra, Manuel Banzhaf, Andrew L. Lovering, Spencer J. Williams, Marcelo E. Guerin, Nichollas E. Scott, Rafael Prados-Rosales, Elisabeth C. Lowe, Patrick J. Moynihan
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-15 (2024)
Abstract Mycobacterial glycolipids are important cell envelope structures that drive host-pathogen interactions. Arguably, the most important are lipoarabinomannan (LAM) and its precursor, lipomannan (LM), which are trafficked from the bacterium to t
Externí odkaz:
https://doaj.org/article/6d93ff76e3f4412dafd8078e53d92041
Genotype-to-phenotype mappings translate genotypic variations such as mutations into phenotypic changes. Neutrality is the observation that some mutations do not lead to phenotypic changes. Studying the search trajectories in genotypic and phenotypic
Externí odkaz:
http://arxiv.org/abs/2211.08516
Autor:
Nicola Weidmüller, Julius Matthias Knopp, Josip Beber, Gordana Mikulčić Krnjaja, Ellen Banzhaf
Publikováno v:
City and Environment Interactions, Vol 23, Iss , Pp 100154- (2024)
With more than 75% of the European Union’s population living in urban areas covering 21.5% of the EU territory, the importance of climate-resilient cities, towns and suburbs has increased dramatically. However, the rising impact of human-induced la
Externí odkaz:
https://doaj.org/article/bb047e41f9be4f328b082a3ed0d07604