Author:
Soares Symone G.,Araújo Rui
Funder
Fundação para a Ciência e a Tecnologia
SCIAD
Mais Centro – Regional Operational Program of the Centro
European Union
FCT
Subject
Artificial Intelligence,Computer Science Applications,General Engineering
Reference41 articles.
1. Improving experimental studies about ensembles of classifiers for bankruptcy prediction and credit scoring;Abellán;Expert Systems with Applications,2014
2. Bifet, A., & Gavaldà, R., (2007). Learning from time-changing data with adaptive windowing. In Proc. of the 2007 SIAM int. conf. on data mining (pp. 443–448).
3. Combining block-based and online methods in learning ensembles from concept drifting data streams;Brzezinski;Information Sciences,2014
4. Caruana, R., Lawrence, S., & Giles, L., (2000). Overfitting in neural nets: Backpropagation, conjugate gradient, and early stopping. In Proc. neural information processing systems conf. NIPS’00 (pp. 402–408).
5. Fast and light boosting for adaptive mining of data streams;Chu,2004
Cited by
41 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