emrev12
emrev12
/ cd_nse_ml_ref.txt
Created
March 22, 2018 14:37
A collection of references for concept drift detection and machine learning in non-stationary environments.
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| [LFR] : Wang, H., Abraham, Z., 2015. Concept drift detection for stream- ing data. In: International Joint Conference on Neural Networks (IJCNN). IEEE, pp. 1–9. | |
| [DDM] : Gama, J., Medas, P., Castillo, G., Rodrigues, P., 2004. Learning with drift detection. In: Advances in artificial intelligence–SBIA 2004. Springer, pp. 286–295. | |
| [EDDM] : Baena-Garcıa, M., del Campo-A ́vila, J., Fidalgo, R., Bifet, A., Gavalda, R., Morales-Bueno, R., 2006. Early drift detection method. In: Fourth international workshop on knowledge discov- ery from data streams. Vol. 6. pp. 77–86. | |
| [ADWIN] : Bifet, A., Gavalda, R., 2007. Learning from time-changing data with adaptive windowing. In: SDM. Vol. 7. SIAM | |
| [Resampling] : Harel, M., Mannor, S., El-Yaniv, R., Crammer, K., 2014. Concept drift detection through resampling. In: Proceedings of the 31st Inter- national Conference on Machine Learning (ICML-14). pp. 1009– 1017. | |
| [OLINDDA] : Spinosa, E. J., de Leon F de Carvalho, A. P., Gama, J., 2007. Olindda: A cluster-based approach for detec |