We compare the diagnostic accuracy of three diagnostic inference models: the simple Bayes model, the multimembership Bayes model, which is isomorphic to the parallel combination f...
The different approaches of emerging workflow modeling languages are manifold. Today, there exist many notations for workflow modeling with various specializations on different do...
We consider the statistical problem of analyzing the association between two categorical variables from cross-classified data. The focus is put on measures which enable one to st...
Our paper aims at proposing a framework that allows programmers to exploit the benefits of exception handling throughout the entire development Java programs by modeling exception ...
We examine the use of hidden Markov and hidden semi-Markov models for automatically segmenting an electrocardiogram waveform into its constituent waveform features. An undecimated...
Nicholas P. Hughes, Lionel Tarassenko, Stephen J. ...