: Our research has shown that schedules can be built mimicking a human scheduler by using a set of rules that involve domain knowledge. This chapter presents a Bayesian Optimizatio...
In this paper, minimum jerk movement on the constrained sphere was studied by using both theoretical analysis and experimental investigation. Based on the constraint optimal princ...
D. H. Sha, James L. Patton, Ferdinando A. Mussa-Iv...
Evolutionary Algorithms (EAs) are well-known optimization approaches to cope with non-linear, complex problems. These population-based algorithms, however, suffer from a general we...
Shahryar Rahnamayan, Hamid R. Tizhoosh, Magdy M. A...
Stochastic process algebras have been proposed as compositional specification formalisms for performance models. In this paper, we describe a tool which aims at realising all bene...
When solving machine learning problems, there is currently little automated support for easily experimenting with alternative statistical models or solution strategies. This is be...
Sooraj Bhat, Ashish Agarwal, Alexander Gray, Richa...