There is little agreement on terminology in model composition, and even less on key characteristics of a model composition solution. We present three composition frameworks: the At...
This paper describes a new student model technology that combines evidences and knowledge about pedagogical and domain structure. Its structure is generated from the metadata avai...
We present a generative model for the unsupervised learning of dependency structures. We also describe the multiplicative combination of this dependency model with a model of line...
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. ...
We propose a modification of the widely known Benjamin-Johnson-Hui (BJH) cellular automaton model for single-lane traffic simulation. In particular, our model includes a `slow-to-...