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» Localizing Planning with Functional Process Models
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AI
2000
Springer
13 years 9 months ago
Stochastic dynamic programming with factored representations
Markov decisionprocesses(MDPs) haveproven to be popular models for decision-theoretic planning, but standard dynamic programming algorithms for solving MDPs rely on explicit, stat...
Craig Boutilier, Richard Dearden, Moisés Go...
ICCS
2003
Springer
14 years 3 months ago
A Method of Hidden Markov Model Optimization for Use with Geophysical Data Sets
Geophysics research has been faced with a growing need for automated techniques with which to process large quantities of data. A successful tool must meet a number of requirements...
Robert A. Granat
FLAIRS
2009
13 years 7 months ago
Constraint-based Approach to Discovery of Inter Module Dependencies in Modular Bayesian Networks
This paper introduces an information theoretic approach to verification of modular causal probabilistic models. We assume systems which are gradually extended by adding new functi...
Patrick de Oude, Gregor Pavlin
WSC
1997
13 years 11 months ago
Success Stories in Simulation in Health Care
Healthcare is a rapidly changing industry, and facilities are struggling to find tools to enhance their ability to keep up with the change. Healthcare staff have generally adapted...
Catherine Drury Barnes, Joaquin L. Quiason, Carson...
ICIP
2007
IEEE
14 years 11 months ago
Modeling of Front Evolution with Graph Cut Optimization
In this paper, we present a novel active contour model, in which the traditional gradient descent optimization is replaced by graph cut optimization. The basic idea is to first de...
Hang Chang, Qing Yang, Manfred Auer, Bahram Parvin