Current workflow management systems (WFMSs) are only applicable in a reliable and secure manner, if the business process (BP) to be supported is wellstructured. As ad hoc deviatio...
We use a generative history-based model to predict the most likely derivation of a dependency parse. Our probabilistic model is based on Incremental Sigmoid Belief Networks, a rec...
In recent years there has been a flurry of works on learning Bayesian networks from data. One of the hard problems in this area is how to effectively learn the structure of a beli...
Probabilistic models have been adopted for many computer vision applications, however inference in highdimensional spaces remains problematic. As the statespace of a model grows, ...
We present the MOdel of Organisational Change using Agents (MOCHA) as a means to formally specify, check and simulate organisations and their changes using agents. We define the s...