We consider the problem of multi-task learning, that is, learning multiple related functions. Our approach is based on a hierarchical Bayesian framework, that exploits the equival...
In this paper we describe a first version of ZEUS, a web application that combines browsing, searching and object presentation. With the zooming and panning based navigation concep...
Fredrik Gundelsweiler, Thomas Memmel, Harald Reite...
In this paper we study the effectiveness of using a phrase-based representation in e-mail classification, and the affect this approach has on a number of machine learning algorithm...
In this paper, we present the AutoCat system for product classification. AutoCat uses a vector space model, modified to consider product attributes unavailable in traditional docu...