Outcomes of this modeling research are the ability to facilitate comparisons of investment alternatives or strategies; regarding primary targets, possible annual revenues, promoti...
We present a new algorithm for minimizing a convex loss-function subject to regularization. Our framework applies to numerous problems in machine learning and statistics; notably,...
An architecture for the integration of Grid applications with a Catallactic middleware is described, along with an analysis of issues associated with this integration in a real wo...
Liviu Joita, Omer F. Rana, Pablo Chacin, Isaac Cha...
The recent development of Sequential Monte Carlo methods (also called particle filters) has enabled the definition of efficient algorithms for tracking applications in image sequen...
Computer programming is generally understood to be highly challenging and since its inception a wide range of approaches, tools and methodologies have been developed to assist in ...