Recurrent neural networks are theoretically capable of learning complex temporal sequences, but training them through gradient-descent is too slow and unstable for practical use i...
— In a grid-computing environment, resource selection and scheduling depend on the network topology connecting the computation nodes. This paper presents a method to hierarchical...
Automatic case elicitation (ACE) is a learning technique in which a case-based reasoning system acquires knowledge automatically from scratch through repeated real-time trial and e...
The task of providing an optimal analysis of the state of the atmosphere requires the development of dynamic data-driven systems (d3 as) that efficiently integrate the observationa...
Adrian Sandu, Emil M. Constantinescu, Wenyuan Liao...
We consider a cluster architecture in which dynamic content is generated by a database back-end and a collection of Web and application server front-ends. We study the effect of t...