Results 1 to 10 of about 387,050 (163)

Audio-Based Engine Fault Diagnosis with Wavelet, Markov Blanket, ROCKET, and Optimized Machine Learning Classifiers [PDF]

open access: yesSensors
Engine 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
doaj   +3 more sources

Triplet offline causal discovery based on optimal Markov blanket and its application [PDF]

open access: yesScientific Reports
Offline constraint-based causal feature selection (OC-CFS) algorithms are essential for identifying causal relationships from observational data.
Waqar Khan   +6 more
doaj   +3 more sources

Hazardous Traffic Event Detection Using Markov Blanket and Sequential Minimal Optimization (MB-SMO) [PDF]

open access: yesSensors, 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   +2 more sources

A Markov blanket-based method for detecting causal SNPs in GWAS [PDF]

open access: yesBMC 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
doaj   +2 more sources

FEPI-MB: identifying SNPs-disease association using a Markov Blanket-based approach [PDF]

open access: yesBMC 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   +2 more sources

As One and Many: Relating Individual and Emergent Group-Level Generative Models in Active Inference [PDF]

open access: yesEntropy
Active 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
doaj   +2 more sources

Explainable artificial intelligence approaches for predicting depression by combining feature selection methods and machine learning classifiers [PDF]

open access: yesDigital Health
Objective 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
doaj   +2 more sources

Multi-Source Causal Invariance for Cuffless Blood Pressure Estimation Based on Photoplethysmography Signal Features [PDF]

open access: yesSensors
Cuffless continuous blood pressure (BP) monitoring is essential for personal health management. However, its accuracy is challenged by the diversity and heterogeneity of physiological data sources.
Yiliu Xu, Zhaoming He, Hao Wang
doaj   +2 more sources

Minimization of prediction errors during cerebral embryogenesis and the emergence of agency [PDF]

open access: yesFrontiers in Systems Neuroscience
A theory of self-organization in the central nervous system is described, proposing that additive and dissipative synaptodendritic summation leads to synchronous oscillation as the equilibrium state, thereby underpinning a primary mechanism of prediction
James Joseph Wright, Paul David Bourke
doaj   +2 more sources

How to Knit Your Own Markov Blanket [PDF]

open access: yes, 2017
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’).
Clark, Andy
core   +2 more sources

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