Set-valued estimation offers a way to account for imprecise knowledge of the prior distribution of a Bayesian statistical inference problem. The set-valued Kalman filter, which p...
Outliers are observations that do not follow the statistical distribution of the bulk of the data, and consequently may lead to erroneous results with respect to statistical analy...
The development of many complex simulation applications requires collaborative effort from researchers with different domain knowledge and expertise, possibly at different locatio...
Dan Chen, Georgios K. Theodoropoulos, Stephen John...
Resource brokering in Grids is nowadays handled by resource brokers that require detailed knowledge of the state of the resources that they broker. In business settings, surrender...
Ontologies provide a means of modelling and representing a knowledge domain. Such representation, already used in purpose-built distributed information systems, can also be of gre...
Nickolas J. G. Falkner, Paul D. Coddington, Andrew...