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Markov Blanket Density and Free Energy Minimization
This paper presents a continuous, information-theoretic extension of the Free Energy Principle through the concept of Markov blanket density, i.e., a scalar field that quantifies the degree of conditional independence between internal and external states
L. Possati
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Markov blankets in the brain [PDF]
25 pages, 5 figures, 1 table ...
Thomas Parr +2 more
exaly +8 more sources
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Wrapper-based gene selection with Markov blanket
Computers in Biology and Medicine, 2017Gene 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
exaly +5 more sources
Markov Blanket Composition of SLOs
2024 IEEE International Conference on Edge Computing and Communications (EDGE)Smart environments use composable microservices pipelines to process Internet of Things (IoT) data, where each service is dependent on the outcome of its predecessor.
Boris Sedlak +3 more
semanticscholar +3 more sources
Strong approximate Markov blanket and its application on filter-based feature selection
Applied Soft Computing Journal, 2020In feature selection problems, strong relevant features may be misjudged as redundant by the approximate Markov blanket. To avoid this, a new concept called strong approximate Markov blanket is proposed. It is theoretically proved that no strong relevant
Zhongsheng Hua, Ye Hua
exaly +2 more sources
How to Knit Your Own Markov Blanket [PDF]
Hohwy (Hohwy 2016, Hohwy 2017) argues there is a tension between the free energy principle and leading depictions of mind as embodied, enactive, and extended (so-called ‘EEE1 cognition’).
A. Clark
semanticscholar +5 more sources

