Probabilistic decision graphs (PDGs) are a representation language for probability distributions based on binary decision diagrams. PDGs can encode (context-specific) independence...
In this paper, we consider representing a musical signal as a dynamic texture, a model for both the timbral and rhythmical qualities of sound. We apply the new representation to t...
Luke Barrington, Antoni B. Chan, Gert R. G. Lanckr...
In this paper we describe a model of the process by which people solve problems using information visualization systems. The model was based on video analysis of forty dyads who p...
The development of a discrete-event simulation tool, called GMSim, based on the generalized semi-Markov process (GSMP) formalism is described. The GSMP representation comprises bo...
When modeling business processes, we often implicity think of internal business policies and external regulations. Yet to date, little attention is paid to avoid hard-coding polici...