We present a distributed machine learning framework based on support vector machines that allows classification problems to be solved iteratively through parallel update algorithm...
Abstract. We present a null-space primal-dual interior-point algorithm for solving nonlinear optimization problems with general inequality and equality constraints. The algorithm a...
views abstract groups of tasks in a workflow into high level composite tasks, in order to reuse sub-workflows and facilitate provenance analysis. However, unless a view is careful...
This paper presents a novel approach for a free structure analog circuit design using Genetic Algorithms (GA). A major problem in a free structure circuit is its sensitivity calcu...
Traditionally, infinite databases were studied as a data model for queries that may contain function symbols (since functions may be expressed as infinite relations). Recently, th...