Background: Constraint-based approaches facilitate the prediction of cellular metabolic capabilities, based, in turn on predictions of the repertoire of enzymes encoded in the gen...
Jacek Sroka, Lukasz Bieniasz-Krzywiec, Szymon Gwoz...
We present an ensemble learning approach that achieves accurate predictions from arbitrarily partitioned data. The partitions come from the distributed processing requirements of ...
Larry Shoemaker, Robert E. Banfield, Lawrence O. H...
This paper presents problems encountered within the simulation modeling community of General Motors when they are faced with the requirement to verify all new plant designs for th...
Jeffrey Scott Miller, Randy Combs, Earnest Foster,...
We present a nonparametric Bayesian model for multi-task learning, with a focus on feature selection in binary classification. The model jointly identifies groups of similar tas...
In this paper we present RUBIQ, a polymorphic ubiquitous network testbed. RUBIQ works on StarBED, which is a network testbed consisting of hundreds of PCs connected to each other. ...