Results 201 to 210 of about 1,485 (251)

Time-varying dynamic Bayesian network learning for an fMRI study of emotion processing. [PDF]

Stat Med
Sun L, Zhang A, Liang F.
europepmc   +1 more source

Identifying causal neural oscillations underlying working memory. [PDF]

Cereb Cortex
Mirjalili M, Zomorrodi R, Daskalakis ZJ, Blumberger DM, Hill SL, Rajji TK.   +5 more
europepmc   +1 more source

Bayesian brain computing and the free-energy principle: an interview with Karl Friston. [PDF]

Natl Sci Rev
Lu W.
europepmc   +1 more source

Transcendental model selection: a computational account of symbolic cognition and general intelligence through morality and culture. [PDF]

Front Sociol
Rahman S, Pashea A.
europepmc   +1 more source

Efficient Learning of Markov Blanket and Markov Blanket Classifier

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Wrapper-based gene selection with Markov blanket

Computers in Biology and Medicine, 2017
Gene selection seeks to find a small subset of discriminant genes from the gene expression profiles. Current gene selection methods such as wrapper-based models mainly address the issue of obtaining high-quality gene subsets. However, they are considerably time consuming, due to the existence of irrelevant and redundant genes. In this study, we present
Aiguo Wang, Ning An, Jing Yang
exaly   +3 more sources

Markov blankets and Bayesian territories

Behavioral and Brain Sciences, 2022
Abstract Bruineberg et al. argue that one ought not confuse the map (model) for the territory (reality) and delineate a distinction between innocuous Pearl blankets and metaphysically laden Friston blankets. I argue that all we have are models, all knowledge is conditional, and that if there is a Pearl/Friston distinction, it is a matter of the ...
openaire   +2 more sources