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Efficient Learning of Markov Blanket and Markov Blanket Classifier

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Efficient score-based Markov Blanket discovery

International Journal of Approximate Reasoning, 2017
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Qiang Ji, Tian Gao
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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 ...
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Markov Blankets for Sustainability

2023
This paper’s aim is twofold: on the one hand, to provide an overview of the state of the art of some kind of Bayesian networks, i.e. Markov blankets (MB), focusing on their relationship with the cognitive theories of the free energy principle (FEP) and active inference.
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Efficient Markov Blanket Discovery and Its Application

IEEE Transactions on Cybernetics, 2017
In a Bayesian network (BN), a target node is independent of all other nodes given its Markov blanket (MB), and finding the MB has many applications, including feature selection and BN structure learning. We propose a new MB discovery algorithm, simultaneous MB (STMB), to improve the efficiency of the existing topology-based MB discovery algorithms. The
Qiang Ji, Tian Gao
exaly   +4 more sources

Choosing a Markov blanket

Behavioral and Brain Sciences, 2020
Abstract This commentary focuses upon the relationship between two themes in the target article: the ways in which a Markov blanket may be defined and the role of precision and salience in mediating the interactions between what is internal and external to a system.
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Markov blankets and the preformationist assumption

Behavioral and Brain Sciences, 2022
Abstract Bruineberg and colleagues argue that a realist interpretation of Markov blankets inadvertently relies upon unfounded assumptions. However, insofar as their diagnosis is accurate, their prescribed instrumentalism may ultimately prove insufficient as a complete remedy.
Mads Dengsø, Ian Robertson, Axel Constant   +2 more
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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, Gil Alterovitz, Ning An
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Markov blankets do not demarcate the boundaries of the mind

Behavioral and Brain Sciences, 2022
Abstract We agree with Bruineberg and colleagues' main claims. However, we urge for a more forceful critique by focusing on the extended mind debate. We argue that even once the Pearl and Friston versions of the Markov blanket have been untangled, that neither is sufficient for tackling and resolving the question of demarcating the boundaries of the
Richard Menary, Alexander J. Gillett
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