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Understanding disease processes by partitioned dynamic Bayesian networks.
Marcos L. P. Bueno
Arjen Hommersom
Peter J. F. Lucas
Martijn Lappenschaar
Joost G. E. Janzing
Published in:
J. Biomed. Informatics (2016)
Keyphrases
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dynamic bayesian networks
stochastic processes
bayesian networks
approximate inference
particle filtering
gene regulatory networks
machine learning
feature selection
state variables
image sequences
reinforcement learning
least squares
higher order
graphical models
structure learning