A Theoretical Framework on the Ideal Number of Classifiers for Online Ensembles in Data Streams.

@inproceedings{bonab-2016-theoretical, author = {Hamed R. Bonab and Fazli Can}, editor = {Snehasis Mukhopadhyay and Javed Mostafa and ChengXiang Zhai and Elisa Bertino and Fabio Crestani and Javed Mostafa and Jie Tang and Luo Si and Xiaofang Zhou and Yi Chang and Yunyao Li and Parikshit Sondhi}, title = {{A Theoretical Framework on the Ideal Number of Classifiers for Online Ensembles in Data Streams}}, booktitle = {{Proceedings of the 25th ACM International Conference on Information and Knowledge Management, CIKM 2016, Indianapolis, IN, USA, October 24-28, 2016}}, pages = {2053--2056}, publisher = {ACM}, year = {2016}, url = {https://doi.org/10.1145/2983323.2983907}, doi = {https://doi.org/10.1145/2983323.2983907} }