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The top documents tagged [logistic loss]
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logistic loss
1. 2 HEAD OFFICE H-27, M.I.D.C. Waluj, Aurangabad (MS) 431 136 Ph. No. : +91-240-2555666, 2555166, 2552701 Fax. No. : +91-240-2552702 Email :
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Regularized risk minimization Usman Roshan. Supervised learning for two classes We are given n training samples (x i,y i ) for i=1..n drawn i.i.d from.
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COMP 4332 Tutorial 4 Feb 23 Yin Zhu
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A PAC-Bayes Risk Bound for General Loss Functions
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