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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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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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.
Thomas Parr +2 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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Information-Theoretic Causal Feature Selection via Markov Blanket Discovery for Stock Return Direction Prediction: Evidence from China [PDF]
EntropyStock markets are complex adaptive systems whose feature dependencies evolve over time, and identifying which signals genuinely drive returns is fundamentally a problem of information.
Jiamei Zhou, Hongxu Wu, Shaoze Li
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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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Joint Markov Blankets in Feature Sets Extracted from Wavelet Packet Decompositions
Entropy, 2011 Since two decades, wavelet packet decompositions have been shown effective as a generic approach to feature extraction from time series and images for the prediction of a target variable.
Marc Van Hulle +2 more
exaly +3 more sources
Food inflation, nutrition behavior, food insecurity, and anxiety: a Bayesian network analysis among Turkish adults [PDF]
Frontiers in NutritionBackgroundFood inflation is a pervasive economic stressor that may disrupt nutritional behaviors and amplify food insecurity, yet the complex pathways linking these phenomena to psychological distress remain poorly understood. This study aimed to map the
Hande Ongun Yilmaz +3 more
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Beyond representations: from active inference to active interference [PDF]
Frontiers in Human NeuroscienceActive inference describes the system–environment boundary through statistical constructs such as the Markov blanket, a substrate-independent formalism that specifies a boundary's functional role without committing to the physical structure realizing it.
Tommaso Firaux +3 more
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