title: General Algorithmic Frameworks for Online Problem.
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.
authors.affiliation: Department of Mathematics, University of Haifa Mt. Carmel, 31905 Haifa, Israel ( yair@math.haifa.ac.il ).
authors.forename: Yair
authors.initials: Y
authors.lastname: Censor
authors.forename: Simeon
authors.initials: S
authors.lastname: Reich
authors.forename: Alexander J
authors.initials: AJ
authors.lastname: Zaslavski