Confusion networks are a simple representation of multiple speech recognition or translation hypotheses in a machine translation system. A typical operation on a confusion network...
: The article is devoted to the development of knowledge-oriented models that are able to increase the efficiency and quality of main pipeline complex (MPC) dispatching control. Th...
Abstract. This paper considers the general problem of function estimation with a modular approach of neural computing. We propose to use functionally independent subnetworks to lea...
This paper investigates an attempt to combine different simulation tools in order to build a simulation environment that can be used to model complex system behaviour. The compone...
We show that the two NP-complete problems of Dodgson Score and Young Score have differing computational complexities when the winner is close to being a Condorcet winner. On the ...