New multicategory boosting algorithms based on multicategory Fisher-consistent losses

Details New multicategory boosting algorithms based on multicategory Fisher-consistent losses New multicategory boosting algorithms based on multicategory Fisher-consistent losses

2009-01-26

arxiv.org/abs/0901.3988v1

Annals of Applied Statistics 2008, Vol. 2, No. 4, 1290-1306

Statistics

Applications

Published in at http://dx.doi.org/10.1214/08-AOAS198 the Annals of Applied Statistics (http://www.imstat.org/aoas/) by the Ins

Scientific paper

10.1214/08-AOAS198

Fisher-consistent loss functions play a fundamental role in the construction of successful binary margin-based classifiers. In this paper we establish the Fisher-consistency condition for multicategory classification problems. Our approach uses the margin vector concept which can be regarded as a multicategory generalization of the binary margin. We characterize a wide class of smooth convex loss functions that are Fisher-consistent for multicategory classification. We then consider using the margin-vector-based loss functions to derive multicategory boosting algorithms. In particular, we derive two new multicategory boosting algorithms by using the exponential and logistic regression losses.

Affiliated with

Also associated with

No associations

Rating

New multicategory boosting algorithms based on multicategory Fisher-consistent losses does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with New multicategory boosting algorithms based on multicategory Fisher-consistent losses, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and New multicategory boosting algorithms based on multicategory Fisher-consistent losses will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-371977