This paper introduces design principles for modular Bayesian fusion systems which can (i) cope with large quantities of heterogeneous information and (ii) can adapt to changing co...
Gregor Pavlin, Patrick de Oude, Marinus Maris, Jan...
As virtualized data-centres become the back-end platforms behind a new generation of utility and cloud computing infrastructures (such as AmazonAWS [1]) their multi-tenancy, scale...
Background: Causal networks based on the vector autoregressive (VAR) process are a promising statistical tool for modeling regulatory interactions in a cell. However, learning the...
With the current trend in integration of more complex systems on chip there is a need for better communication infrastructure on chip that will increase the available bandwidth an...
Most of recent research on distributed shared memory (DSM)systems have focused on either careful design of node controllersor cache coherenceprotocols. Whileevaluating these desig...