Feature selection using geometric semantic genetic programming-Reference-Cited by-同舟云学术

Feature selection using geometric semantic genetic programming

Published:2017-07-15 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the Genetic and Evolutionary Computation Conference Companion
language:
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Author:

Rosa G. H.¹,Papa J. P.¹,Papa L. P.²

Affiliation:

1. São Paulo State University, Bauru, São Paulo, Brazil

2. São Paulo Southwestern College, São Paulo, Brazil

Funder

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Fundação de Amparo à Pesquisa do Estado de São Paulo

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3067695.3076020

Reference14 articles.

1. A geometric semantic genetic programming system for the electoral redistricting problem

2. Novel feature selection method for genetic programming using metabolomic 1H NMR data

3. Chih-Wei Hsu and Chih-Jen Lin. 2002. A comparison of methods for multiclass support vector machines. IEEE transactions on Neural Networks 13 2 (2002) 415--425. 10.1109/72.991427 Chih-Wei Hsu and Chih-Jen Lin. 2002. A comparison of methods for multiclass support vector machines. IEEE transactions on Neural Networks 13 2 (2002) 415--425. 10.1109/72.991427

4. J.R. Koza. 1992. Genetic programming: on the programming of computers by means of natural selection. The MIT Press Cambridge USA. J.R. Koza. 1992. Genetic programming: on the programming of computers by means of natural selection. The MIT Press Cambridge USA.

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