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Experimental Design of Time Series Data for Learning from Dynamic Bayesian Networks.
C. David Page Jr.
Irene M. Ong
Published in:
Pacific Symposium on Biocomputing (2006)
Keyphrases
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experimental design
dynamic bayesian networks
active learning
learning algorithm
prior knowledge
bayesian networks
learning process
data sets
machine learning
supervised learning
feature selection
feature extraction
reinforcement learning
learning experience
learning scenarios
particle filtering