We consider the supervised learning of a binary classifier from noisy observations. We use smooth boosting to linearly combine abstaining hypotheses, each of which maps a subcube...
There are many settings in which users of a social media application provide evaluations of one another. In a variety of domains, mechanisms for evaluation allow one user to say w...
Ashton Anderson, Daniel P. Huttenlocher, Jon M. Kl...
Online advertising is increasingly becoming more performance oriented, where the decision to show an advertisement to a user is made based on the user’s propensity to respond to...
This paper proposes Twin Vector Machine (TVM), a constant space and sublinear time Support Vector Machine (SVM) algorithm for online learning. TVM achieves its favorable scaling b...
The Drosophila species comparative genome database DroSpeGe (http://insects.eugenes.org/ DroSpeGe/) provides genome researchers with rapid, usable access to 12 new and old Drosoph...