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Modeling the impact of run-time uncertainty on optimal computation scheduling using feedback.
Richard D. Dietz
Thomas L. Casavant
Todd E. Scheetz
Terry A. Braun
Mark S. Andersland
Published in:
ICPP (1997)
Keyphrases
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contract algorithms
parallel processors
scheduling problem
optimal solution
learning algorithm
closed form
efficient computation
neural network
bayesian networks
special case
dynamic programming
scheduling algorithm
reasoning under uncertainty
optimal scheduling