Ranking with Large Margin Principle: Two Approaches
–Neural Information Processing Systems
We discuss the problem of ranking k instances with the use of a "large margin" principle. We introduce two main approaches: the first is the "fixed margin" policy in which the margin of the closest neighboring classes is being maximized - which turns out to be a direct generalization ofSVM to ranking learning.
Neural Information Processing Systems
Dec-31-2003