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
doaj +4 more sources
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
doaj +3 more sources
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
doaj +2 more sources
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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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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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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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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Oscillatory dynamics as the coordination layer of the organism: waves, Markov blankets, and the virtual space of cognition [PDF]
Frontiers in NeuroscienceNeural oscillations are not a mechanism that implements cognition. We present a new theoretical framework through a synthesis of relevant literature that has emerged in recent years: metabolic activity in the body, including but not limited to neural ...
Thomas Dylan Daniel
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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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