Creating Diverse Ensembles for Classification with Genetic Programming and Neuro-MAP-Elites-Reference-Cited by-同舟云学术

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Creating Diverse Ensembles for Classification with Genetic Programming and Neuro-MAP-Elites

Published:2022 Issue: Volume: Page:212-227
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
language:
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Author:

Nickerson Kyle^ORCID,Kolokolova Antonina,Hu Ting^ORCID

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-02056-8_14

Reference32 articles.

1. Beadle, L., Johnson, C.: Semantically driven crossover in genetic programming, pp. 111–116, July 2008

2. Beadle, L., Johnson, C.: Semantically driven mutation in genetic programming, pp. 1336–1342, May 2009

3. Berkson, J.: Application of the logistic function to bio-assay. J. Am. Statist. Assoc. 39(227), 357–365 (1944)

4. Lecture Notes in Computer Science;S Boisvert,2021

5. Brameier, M.F., Banzhaf, W.: Linear Genetic Programming, 1st edn. Springer Publishing Company Inc., Cham (2007)

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. MAP-Elites for Genetic Programming-Based Ensemble Learning: An Interactive Approach [AI-eXplained];IEEE Computational Intelligence Magazine;2023-11

2. A Double Lexicase Selection Operator for Bloat Control in Evolutionary Feature Construction for Regression;Proceedings of the Genetic and Evolutionary Computation Conference;2023-07-12

3. MAP-Elites with Cosine-Similarity for Evolutionary Ensemble Learning;Lecture Notes in Computer Science;2023

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