Coherence functions for multicategory margin-based classification methods. Export

@inproceedings{citeulike:5794443, author = {Zhang, Z. and Jordan, M. I. and Li, W. J. and Yeung, D. Y.}, booktitle = {Proceedings of the Twelfth Conference on Artificial Intelligence and Statistics (AISTATS)}, citeulike-article-id = {5794443}, citeulike-linkout-0 = {http://jmlr.csail.mit.edu/proceedings/papers/v5/zhang09a/zhang09a.pdf}, comment = {Describe a parametrised family of proper losses for multiclass probability estimation which, in the limit, approximate the hinge loss.}, keywords = {boosting, consistency, convexity, margin, multiclass, surrogate, theory}, location = {Clearwater Beach, FL}, posted-at = {2009-09-17 09:17:15}, priority = {5}, title = {Coherence functions for multicategory margin-based classification methods.}, url = {http://jmlr.csail.mit.edu/proceedings/papers/v5/zhang09a/zhang09a.pdf}, year = {2009} }

TY - CONF ID - citeulike:5794443 L3 - citeulike-article-id:5794443 CY - Clearwater Beach, FL TI - Coherence functions for multicategory margin-based classification methods. T2 - Proceedings of the Twelfth Conference on Artificial Intelligence and Statistics (AISTATS) KW - boosting KW - consistency KW - convexity KW - margin KW - multiclass KW - surrogate KW - theory N1 - Describe a parametrised family of proper losses for multiclass probability estimation which, in the limit, approximate the hinge loss. AU - Zhang, Z AU - Jordan, MI AU - Li, WJ AU - Yeung, DY PY - 2009/// UR - http://jmlr.csail.mit.edu/proceedings/papers/v5/zhang09a/zhang09a.pdf ER -