Supervised learning techniques for text classi cation often require a large number of labeled examples to learn accurately. One way to reduce the amountoflabeled datarequired is t...
Abstract: This paper introduces a new method for optimally provisioning and pricing differentiated services, that maximizes profit and maintains a small blocking probability. Reso...
Abstract. In many classification problems, and in particular in medical domains, it is common to have an unbalanced class distribution. This pose problems to classifiers as they ...
We propose a Java-like language where class denitions are rst class values, hence new classes can be derived from existing, rather than by a xed mechanism like inheritance, by e...
This paper collects together a miscellany of results originally motivated by the analysis of the generalization performance of the “maximum-margin” algorithm due to Vapnik and...
Robert C. Williamson, Alex J. Smola, Bernhard Sch&...