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Learning word dependencies in text by means of a deep recurrent belief network.
Iti Chaturvedi
Yew-Soon Ong
Ivor W. Tsang
Roy E. Welsch
Erik Cambria
Published in:
Knowl. Based Syst. (2016)
Keyphrases
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belief networks
learning algorithm
reinforcement learning
learning process
supervised learning
graphical models
neural network
image segmentation
keywords
prior knowledge
probability distribution
conditional probabilities