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Causal Probabilistic Graphical Models for Decoding Effective Connectivity in Functional Near InfraRed Spectroscopy.
Samuel Antonio Montero-Hernández
Felipe Orihuela-Espina
Javier Herrera-Vega
Luis Enrique Sucar
Published in:
FLAIRS Conference (2016)
Keyphrases
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probabilistic graphical models
graphical models
latent variables
first order logic
approximate inference
markov networks
pairwise
higher order
machine learning
belief propagation
inductive logic programming
message passing
parameter learning