Monthly Archives: December 2010

Learning Zero-One Loss Objective – The Experiment

(Continued from the previous post.) Though the complexity depends crucially on , however, when is a constant (e.g. ) there is still reason to believe that the approximated 0-1 loss function using is more accurate than the hinge loss. However, … Continue reading

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Learning Zero-One Loss Objective – The Theory

(This thread comes from the preliminary version of a subsection of my on-going survey, which will be published soon) Not satisfied by the result in the previous section, [SSSS10] made an interesting attempt towards learning 0-1 objective functions. In classification … Continue reading

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