Stopping Criterion for Boosting-Based Data Reduction Techniques: from Binary to Multiclass Problem
Marc Sebban and Richard Nock and Stphane Lallich

Stopping Criterion for Boosting-Based Data Reduction Techniques: from Binary to Multiclass Problem.pdf 274.08kB
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@article{3:34,author={Marc Sebban and Richard Nock and Stphane Lallich}, Title={Stopping Criterion for Boosting-Based Data Reduction Techniques: from Binary to Multiclass Problem},journal={Journal of Machine Learning Research},volume={3}, url={http://www.jmlr.org/papers/volume3/perkins02a/perkins02a.pdf}}
Citation:
Sebban, M., Nock, R., & Lallich, S.. (2014). Stopping Criterion for Boosting-Based Data Reduction Techniques: from Binary to Multiclass Problem [Data set]. Academic Torrents. https://academictorrents.com/details/0de748dc086791b5cde497b0dca4e896614a7d69
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