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
Type: Paper
Tags:
Journal: Journal of Machine Learning Research, Volume: 3

URL: http://www.jmlr.org/papers/volume3/perkins02a/perkins02a.pdf
License: No license specified, the work may be protected by copyright.

Bibtex: 
@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}}
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