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Introduction to Temporal Bayesian Networks
by Joel D. Young and Eugene Santos Jr. in Michael Gasser (Ed.),
Online Proceedings of the 1996 Midwest Artificial
Intelligence and Cognitive Science Conference
,
Postscript version.
This is early work which has been superceded by the
Probabilistic Temporal Network class of models.
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On Unifying Time and Uncertainty: The Probabilistic
Temporal Network
by Joel D. Young. Thesis presented to Air Force Institute of
Technology, Air University, 1996.
PDF version.
Introduces the probabilistic temporal network, a graphical
model integrating interval time and probabilistic inference.
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Probabilistic temporal networks: A unified framework for
reasoning with time and uncertainty
by Eugene Santos Jr. and Joel D. Young in
International Journal of Approximate Reasoning
, 1999, Volume 20, Pages 263-291.
Postscript version
.
Details the structure of the probabilistic temporal network
as well as a constraint satisfaction formulation for
calculating the most probable explanation.
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Modeling Time and Uncertainty
by Joel D. Young and Eugene Santos Jr.
in submission.
Draft available on request.
Outlines the probabilistic temporal network with an emphasis
on knowledge modeling techniques and application.
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Diatribe on Interval-Interval Relations
by Joel D. Young, 5 Sep 2002
HTML version
Geometric view of interval-interval relations and how to define "meaningful"
relations.