ABSTRACT A Scalable Modular Convex Solver for (2008)
Regularized Risk Minimization, Choon Hui Teo, Quoc Le, Alex Smola
A wide variety of machine learning problems can be described as minimizing a regularized risk functional, with different algorithms using different notions of risk and different regularizers....
ABSTRACT A Scalable Modular Convex Solver for (2008)
Regularized Risk Minimization, Choon Hui Teo, Quoc Le, Alex Smola
A wide variety of machine learning problems can be described as minimizing a regularized risk functional, with different algorithms using different notions of risk and different regularizers....
Holger Fröhlich, Jörg K. Wegner, Andreas Zell, Regularized Risk Minimization
Abstract. In this paper we present a novel method for selecting descriptor subsets by means of Support Vector Machines in classification and regression – the Incremental Regularized Risk...