A shared distributed infrastructure is formed by federating computation resources from multiple domains. Such shared infrastructures are increasing in popularity and are providing...
Paul Ruth, Junghwan Rhee, Dongyan Xu, Rick Kennell...
The vast majority of research projects involving Grid Computing have focused on the development and standardization of the middleware that allows Grids to function. Despite the ma...
Santiago Pena, Dayong Huang, Zhou Lei, Gabrielle A...
Bayesian networks (BNs) have been widely used as a model for knowledge representation and probabilistic inferences. However, the single probability representation of conditional d...
Runtime modification of kernel code is a difficult problem. However, the need of modifiable kernel is increasing because new requirements and services that are unanticipated at th...
— A key step in many statistical learning methods used in machine learning involves solving a convex optimization problem containing one or more hyper-parameters that must be sel...
Kristin P. Bennett, Jing Hu, Xiaoyun Ji, Gautam Ku...