The informative vector machine (IVM) is a practical method for Gaussian process regression and classification. The IVM produces a sparse approximation to a Gaussian process by com...
Neil D. Lawrence, John C. Platt, Michael I. Jordan
Abstract. Relationships are an essential part of the design of a database because they capture associations between things. Comparing and integrating relationships from heterogeneo...
We present a new architectural style for synchronous groupware that eases the transition from scenario based modeling to component design, and from component design to distributed ...
In this paper we are mainly concerned with discussion of a formal model, based on the basic concept of divergence from information theory, for automatic query expansion. The basic...
Withthe proliferation of database views and curated databases, the issue of data provenance where a piece of data came from and the process by which it arrived in the database is b...