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General Algorithmic Frameworks for Online Problem
Yair Censor1, Simeon Reich, Alexander J Zaslavski
1Department of Mathematics, University of Haifa Mt. Carmel, 31905 Haifa, Israel ( yair@math.haifa.ac.il ).
Abstract:
We study general algorithmic frameworks for online learning tasks. These include binary classification, regression, multiclass problems and cost-sensitive multiclass classification. The theorems that we present give loss bounds on the behavior of our algorithms which depend on general conditions on the iterative step sizes.
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