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Learning with Bayesian networks and probability trees to approximate a joint distribution.
Andrés Cano
Manuel Gómez-Olmedo
Andrés R. Masegosa
Serafín Moral
Published in:
ISDA (2011)
Keyphrases
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bayesian networks
joint distribution
conditional probabilities
learning algorithm
learning process
machine learning
hidden variables
probability distribution
random variables
graphical models
unsupervised learning