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ICML
2007
IEEE

Uncovering shared structures in multiclass classification

9 years 12 months ago
Uncovering shared structures in multiclass classification
This paper suggests a method for multiclass learning with many classes by simultaneously learning shared characteristics common to the classes, and predictors for the classes in terms of these characteristics. We cast this as a convex optimization problem, using trace-norm regularization and study gradient-based optimization both for the linear case and the kernelized setting.
Yonatan Amit, Michael Fink 0002, Nathan Srebro, Sh
Added 17 Nov 2009
Updated 17 Nov 2009
Type Conference
Year 2007
Where ICML
Authors Yonatan Amit, Michael Fink 0002, Nathan Srebro, Shimon Ullman
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