Iteratively Divide-and-Conquer Learning for Nonlinear Classification and Ranking

Nonlinear classifiers (i.e., kernel support vector machines (SVMs)) are effective for nonlinear data classification. However, nonlinear classifiers are usually prohibitively expensive when dealing ...