Publisher
Springer International Publishing
Reference8 articles.
1. Craw, S., Wiratunga, N., Rowe, R.C.: Learning adaptation knowledge to improve case-based reasoning. Artif. Intell. 170(16–17), 1175–1192 (2006)
2. Lecture Notes in Computer Science;K Hanney,1996
3. Jalali, V., Leake, D., Forouzandehmehr, N.: Learning and applying case adaptation rules for classification: an ensemble approach. In: Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, pp. 4874–4878. IJCAI-17 (2017)
4. Leake, D., Ye, X., Crandall, D.J.: Supporting case-based reasoning with neural networks: an illustration for case adaptation. In: AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering, Vol. 2 (2021)
5. Liao, C.K., A. Liu, Y.C.: A machine learning approach to case adaptation. In Springer, ed.: IEEE First International Conference on Artificial Intelligence and Knowledge Engineering (AIKE), pp. 106–109 (2018)
Cited by
1 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