Entropy, 2021 In theoretical biology, we are often interested in random dynamical systems—like the brain—that appear to model their environments. This can be formalized by appealing to the existence of a (possibly non-equilibrium) steady state, whose density preserves
Thomas Parr +4 more
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Stochastic Chaos and Markov Blankets [PDF]
Entropy, 2021 In this treatment of random dynamical systems, we consider the existence—and identification—of conditional independencies at nonequilibrium steady-state.
Karl Friston +4 more
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Hazardous Traffic Event Detection Using Markov Blanket and Sequential Minimal Optimization (MB-SMO) [PDF]
Sensors, 2016 The ability to identify hazardous traffic events is already considered as one of the most effective solutions for reducing the occurrence of crashes.
Lixin Yan +6 more
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A Markov blanket-based method for detecting causal SNPs in GWAS [PDF]
BMC Bioinformatics, 2010 Background Detecting epistatic interactions associated with complex and common diseases can help to improve prevention, diagnosis and treatment of these diseases.
Han Bing, Park Meeyoung, Chen Xue-wen
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Audio-Based Engine Fault Diagnosis with Wavelet, Markov Blanket, ROCKET, and Optimized Machine Learning Classifiers [PDF]
SensorsEngine fault diagnosis is a critical task in automotive aftermarket management. Developing appropriate fault-labeled datasets can be challenging due to nonlinearity variations and divergence in feature distribution among different engine kinds or ...
Bernardo Luis Tuleski +4 more
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FEPI-MB: identifying SNPs-disease association using a Markov Blanket-based approach [PDF]
BMC Bioinformatics, 2011 Background The interactions among genetic factors related to diseases are called epistasis. With the availability of genotyped data from genome-wide association studies, it is now possible to computationally unravel epistasis related to the ...
Han Bing +2 more
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Triplet offline causal discovery based on optimal Markov blanket and its application [PDF]
Scientific ReportsOffline constraint-based causal feature selection (OC-CFS) algorithms are essential for identifying causal relationships from observational data.
Waqar Khan +6 more
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As One and Many: Relating Individual and Emergent Group-Level Generative Models in Active Inference [PDF]
EntropyActive inference under the Free Energy Principle has been proposed as an across-scales compatible framework for understanding and modelling behaviour and self-maintenance.
Peter Thestrup Waade +6 more
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Explainable artificial intelligence approaches for predicting depression by combining feature selection methods and machine learning classifiers [PDF]
Digital HealthObjective Depression represents a significant global health challenge, further complicated by the multifaceted and complex nature of its diagnosis and treatment.
Min Gyeong Kim +5 more
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Efficient score-based Markov Blanket discovery
International Journal of Approximate Reasoning, 2017 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Tian Gao, Qiang Ji
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