Support vector machines and kernel methods have recently gained considerable attention in chemoinformatics. They offer generally good performance for problems of supervised classi...
In a steel tube mill where an endless stream of steel tube is supplied from a manufacturing facility, trim waste is never made regardless of cutting patterns used and the standard...
A novel method for estimating prediction uncertainty using machine learning techniques is presented. Uncertainty is expressed in the form of the two quantiles (constituting the pr...
In this paper we analyze the performance of execution of service workflows in virtual machines (VMs) used as resources in our service-oriented grid testbed (SGT). We chosen an app...
Carlos R. Senna, Luiz F. Bittencourt, Edmundo R. M...
—Cloud computing centers face the key challenge of provisioning diverse virtual machine instances in an elastic and scalable manner. To address this challenge, we have performed ...