Author:
Zhang Hengzhe,Chen Qi,Xue Bing,Banzhaf Wolfgang,Zhang Mengjie
Publisher
Springer Nature Singapore
Reference29 articles.
1. La Cava, W., Singh, T.R., Taggart, J., Suri, S., Moore, J.H.: Learning concise representations for regression by evolving networks of trees. In: ICLR (2018)
2. LeCun, Y., Bengio, Y., Hinton, G.: Deep learning. Nature 521(7553), 436–444 (2015)
3. Müller, K., Mika, S., Rätsch, G., Tsuda, K., Schölkopf, B.: An introduction to kernel-based learning algorithms. IEEE Trans. Neural Netw. 12(2), 181–201 (2001)
4. Rudin, C.: Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead. Nat. Mach. Intell. 1(5), 206–215 (2019)
5. Zhang, H., Zhou, A., Zhang, H.: An evolutionary forest for regression. IEEE Trans. Evol. Comput. 26(4), 735–749 (2022)