Binary and multinomial classification through evolutionary symbolic regression

Author:

Sipper Moshe1

Affiliation:

1. Ben-Gurion University, Beer Sheva, Israel

Publisher

ACM

Reference15 articles.

1. Optuna

2. XGBoost

3. A Survey on the Application of Genetic Programming to Classification

4. GPLearn 2021. GPLearn. https://gplearn.readthedocs.io/. Accessed: 2021-4-30. GPLearn 2021. GPLearn. https://gplearn.readthedocs.io/. Accessed: 2021-4-30.

5. Vijay Ingalalli , Sara Silva , Mauro Castelli , and Leonardo Vanneschi . 2014. A Multi-dimensional Genetic Programming Approach for Multi-class Classification Problems . In Genetic Programming, Miguel Nicolau, Krzysztof Krawiec, Malcolm I. Heywood, Mauro Castelli, Pablo García-Sánchez, Juan J. Merelo, Victor M. Rivas Santos, and Kevin Sim (Eds.). Springer Berlin Heidelberg , Berlin, Heidelberg , 48--60. Vijay Ingalalli, Sara Silva, Mauro Castelli, and Leonardo Vanneschi. 2014. A Multi-dimensional Genetic Programming Approach for Multi-class Classification Problems. In Genetic Programming, Miguel Nicolau, Krzysztof Krawiec, Malcolm I. Heywood, Mauro Castelli, Pablo García-Sánchez, Juan J. Merelo, Victor M. Rivas Santos, and Kevin Sim (Eds.). Springer Berlin Heidelberg, Berlin, Heidelberg, 48--60.

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