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
In this paper, we develop a novel Web Usage Manipulation Language (WUML) which is a declarative language for manipulating Web log data. We assume that a set of trails formed by use...
Many irregular scientific computing problems can be modeled by directed acyclic task graphs (DAGs). In this paper, we present an efficient run-time system for executing general as...
The monitoring of emotional user states can help to assess the progress of human-machine-communication. If we look at specific databases, however, we are faced with several problem...
Anton Batliner, Christian Hacker, Stefan Steidl, E...
We consider two software packages that interact with each other as components: Overture and PETSc. An interface between these two packages could be of tremendous value to applicati...
Kristopher R. Buschelman, William Gropp, Lois C. M...