This paper explains how Partially Observable Markov Decision Processes (POMDPs) can provide a principled mathematical framework for modelling the inherent uncertainty in spoken di...
Steve Young, Milica Gasic, Simon Keizer, Fran&cced...
–This paper is an experimental study on the performance of the two major methods for macro-level similarity measurement: linear weighted merging and logical retrieval. Performanc...
In this paper we present a software architecture which facilitates nomadic computing in an Open Distributed Computing environment. We introduce a model for the description of mobi...
Abstract— Maintaining semantic consistency of data is a significant problem in distributed information systems, particularly those on which a business may depend. Our current wo...
Jeremy W. Bryans, John S. Fitzgerald, Alexander Ro...