Making effective use of computational Grids requires scheduling Grid applications onto resources that best match them. Resource-related state (e.g., load, availability, and locati...
Ronak Desai, Sameer Tilak, Bhavin Gandhi, Michael ...
We developed a machine learning system for determining gene functions from heterogeneous sources of data sets using a Weighted Naive Bayesian Network (WNB). The knowledge of gene ...
—Grid applications need to move large amounts of data between distributed resources within deterministic time frames. In most cases it is possible to specify the volume and the d...
Kashif Munir, Pascale Vicat-Blanc Primet, Michael ...
We present a fast and accurate collision detection algorithm for haptic interaction with polygonal models. Given a model, we pre-compute a hybrid hierarchical representation, cons...
Arthur D. Gregory, Ming C. Lin, Stefan Gottschalk,...
We present an approach to discretizing multivariate continuous data while learning the structure of a graphical model. We derive the joint scoring function from the principle of p...