A class of recurrent neural networks is proposed and proven to be capable of identifying any discrete-time dynamical system. The application of the proposed network is addressed in...
We introduce a new sequential importance sampling (SIS) algorithm which propagates in time a Monte Carlo approximation of the posterior fixed-lag smoothing distribution of the symb...
Abstract. Inference control can guarantee confidentiality but is costly to implement. Access control can be implemented efficiently but cannot guarantee confidentiality. Hence, it ...
Joachim Biskup, Sven Hartmann, Sebastian Link, Jan...
The development of a multilingual terminology is a very long and costly process. We present the creation of a multilingual terminological database called GRISP covering multiple t...
The cloud model is increasingly popular as a means of creating dynamic, flexible and cost effective networkcentric application infrastructures. The model separates the applications...
Terence J. Harmer, Peter Wright, Christina Cunning...