With Grids, we are able to share computing resources and to provide for scientific communities a global transparent access to local facilities. In such an environment the problems...
— This paper describes a Model Order Reduction algorithm for multi-dimensional parameterized systems, based on a sampling procedure which incorporates a low order moment matching...
Distributed learning is a problem of fundamental interest in machine learning and cognitive science. In this paper, we present asynchronous distributed learning algorithms for two...
—In the crash-recovery failure model of asynchronous distributed systems, processes can temporarily stop to execute steps and later restart their computation from a predefined l...
Felix C. Freiling, Christian Lambertz, Mila E. Maj...
Abstract. We present an island model that uses different representations in each island. The model transforms individuals from one representation to another during migrations. We ...