Comparing Individual Representations in Grammar-Guided Genetic Programming for Glucose Prediction in People with Diabetes
Author:
Affiliation:
1. LASIGE, Faculdade de Ciências da Universidade de Lisboa, Lisboa, Portugal
2. Universidad Complutense de Madrid, Madrid, Spain
3. Universidad Rey Juan Carlos, Madrid, Spain
4. University of Coimbra, CISUC, DEI, Coimbra, Portugal
Funder
FCT
SCIMU
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3583133.3596315
Reference25 articles.
1. Arthur Asuncion and David Newman. 2007. UCI machine learning repository. Arthur Asuncion and David Newman. 2007. UCI machine learning repository.
2. Epsilon-Lexicase Selection for Regression
3. Data Types as a More Ergonomic Frontend for Grammar-Guided Genetic Programming
4. Jennifer J Freeman . 1998. A linear representation for GP using context free grammars . In Genetic Programming 1998: Proceedings of the Third Annual Conference . University of Wisconsin, Madison, Wisconsin USA. Morgan Kaufmann , 72--77. Jennifer J Freeman. 1998. A linear representation for GP using context free grammars. In Genetic Programming 1998: Proceedings of the Third Annual Conference. University of Wisconsin, Madison, Wisconsin USA. Morgan Kaufmann, 72--77.
5. Data Based Prediction of Blood Glucose Concentrations Using Evolutionary Methods
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