ion for Stochastic Systems by Erlang's Method of Stages Joost-Pieter Katoen1 , Daniel Klink1 , Martin Leucker2 , and Verena Wolf3 1 RWTH Aachen University 2 TU Munich 3 EPF La...
Joost-Pieter Katoen, Daniel Klink, Martin Leucker,...
— Balanced truncation (BT) model order reduction (MOR) is known for its superior accuracy and computable error bounds. Balanced stochastic truncation (BST) is a particular BT pro...
Maintaining the stability of tracks on multiple targets in video over extended time periods remains a challenging problem. A few methods which have recently shown encouraging resul...
The fractional Laplacian (-)/2 commutes with the primary coordination transformations in the Euclidean space Rd: dilation, translation and rotation, and has tight link to splines, ...
This paper analyses the Contrastive Divergence algorithm for learning statistical parameters. We relate the algorithm to the stochastic approximation literature. This enables us t...