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The exponential loss function is defined as
:<math>V(f(\vec{x}),y) = e^{-\beta yf(\vec{x})}</math>
It penalizes incorrect predictions more than Hinge loss and has a larger gradient.
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No edit summary |
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Line 109:
The exponential loss function is defined as
:<math>V(f(\vec{x}),y) = e^{-\beta yf(\vec{x})}</math>
It penalizes incorrect predictions more than Hinge loss and has a larger gradient.
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