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IJAR
2006
89views more  IJAR 2006»
15 years 2 months ago
Learning probabilistic decision graphs
Probabilistic decision graphs (PDGs) are a representation language for probability distributions based on binary decision diagrams. PDGs can encode (context-specific) independence...
Manfred Jaeger, Jens D. Nielsen, Tomi Silander
ICASSP
2009
IEEE
15 years 9 months ago
Dynamic texture models of music
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...
IV
2003
IEEE
111views Visualization» more  IV 2003»
15 years 7 months ago
A Model of Synchronous Collaborative Information Visualization
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...
Gloria Mark, Keri Carpenter, Alfred Kobsa
WSC
1998
15 years 3 months ago
GMSim: A Tool for Compositional GSMP Modeling
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...
Frode B. Nilson
CAISE
2006
Springer
15 years 6 months ago
Compliant and Flexible Business Processes with Business Rules
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...
Stijn Goedertier, Jan Vanthienen