Author:
de Sá Alex G. C.,Pinto Walter José G. S.,Oliveira Luiz Otavio V. B.,Pappa Gisele L.
Publisher
Springer International Publishing
Reference30 articles.
1. Banzhaf, W., Francone, F.D., Keller, R.E., Nordin, P.: Genetic Programming - An Introduction: On the Automatic Evolution of Computer Programs and Its Applications. Morgan Kaufmann Publishers Inc., Burlington (1998)
2. Pappa, G.L., Ochoa, G., Hyde, M.R., Freitas, A.A., Woodward, J., Swan, J.: Contrasting meta-learning and hyper-heuristic research: the role of evolutionary algorithms. Genet. Program. Evolvable Mach. 15(1), 3–35 (2014)
3. Olson, R.S., Bartley, N., Urbanowicz, R.J., Moore, J.H.: Evaluation of a tree-based pipeline optimization tool for automating data science. In: Proceedings of the Genetic and Evolutionary Computation Conference, pp. 485–492 (2016)
4. Thornton, C., Hutter, F., Hoos, H.H., Leyton-Brown, K.: Auto-WEKA: combined selection and hyperparameter optimization of classification algorithms. In: Proceedings of the International Conference on Knowledge Discovery and Data Mining, pp. 847–855 (2013)
5. Feurer, M., Klein, A., Eggensperger, K., Springenberg, J., Blum, M., Hutter, F.: Efficient and robust automated machine learning. In: Proceedings of the International Conference on Neural Information Processing Systems, pp. 2755–2763 (2015)
Cited by
69 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