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Springer International Publishing
Reference28 articles.
1. Pedregosa, F., et al.: Scikit-learn: machine learning in Python. J. Mach. Learn. Res. 12, 2825–2830 (2011)
2. Lourenço, N., Assunção, F., Pereira, F.B., Costa, E., Machado, P.: Structured grammatical evolution: a dynamic approach. In: Ryan, C., O’Neill, M., Collins, J.J. (eds.) Handbook of Grammatical Evolution, pp. 137–161. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-78717-6_6
3. Jiménez, Á.B., Lázaro, J.L., Dorronsoro, J.R.: Finding optimal model parameters by deterministic and annealed focused grid search. Neurocomputing 72(13–15), 2824–2832 (2009)
4. Young, S.R., Rose, D.C., Karnowski, T.P., Lim, S., Patton, R.M.: Optimizing deep learning hyper-parameters through an evolutionary algorithm. In: MLHPC@SC, pp. 4:1–4:5. ACM (2015)
5. Bergstra, J., Bardenet, R., Bengio, Y., Kégl, B.: Algorithms for hyper-parameter optimization. In: NIPS, pp. 2546–2554 (2011)
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