A Melting Pot of Evolution and Learning
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-8413-8_8
Reference49 articles.
1. Sipper, M., Olson, R.S., Moore, J.H.: Evolutionary computation: the next major transition of artificial intelligence? BioData Min. 10(1), 26 (2017)
2. Sipper, M.: Binary and multinomial classification through evolutionary symbolic regression. In: Proceedings of the Genetic and Evolutionary Computation Conference Companion, GECCO ’22, pp. 300–303. Association for Computing Machinery, New York, NY, USA (2022a)
3. Sipper, M.: Classy ensemble: a novel ensemble algorithm for classification. https://arxiv.org/abs/2302.10580 (2023a)
4. Sipper, M., Halperin, T., Tzruia, I., Elyasaf, A.: EC-KitY: Evolutionary computation tool kit in Python with seamless machine learning integration. SoftwareX 22, 101381 (2023b)
5. Lapid, R., Sipper, M.: Evolution of activation functions for deep learning-based image classification. In: Proceedings of the Genetic and Evolutionary Computation Conference Companion, GECCO ’22, pp. 2113–2121. Association for Computing Machinery, New York, NY, USA (2022a)
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