Results 31 to 40 of about 5,004,642 (164)
Bayesian-Optimized Hybrid Kernel SVM for Rolling Bearing Fault Diagnosis
Sensors, 2023 We propose a new fault diagnosis model for rolling bearings based on a hybrid kernel support vector machine (SVM) and Bayesian optimization (BO). The model uses discrete Fourier transform (DFT) to extract fifteen features from vibration signals in the ...
Xinmin Song +6 more
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Hierarchic Bayesian models for kernel learning [PDF]
, 2005 The integration of diverse forms of informative data by learning an optimal combination of base kernels in classification or regression problems can provide enhanced performance when compared to that obtained from any single data source.
Rogers, S. +3 more
core +1 more source
Gaussian Process Panel Modeling—Machine Learning Inspired Analysis of Longitudinal Panel Data
Frontiers in Psychology, 2020 In this article, we extend the Bayesian nonparametric regression method Gaussian Process Regression to the analysis of longitudinal panel data. We call this new approach Gaussian Process Panel Modeling (GPPM).
Julian D. Karch +4 more
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Bayesian kernel machine regression for estimating the health effects of multi-pollutant mixtures [PDF]
ISEE Conference Abstracts, 2013 Background: It is well accepted that humans are routinely exposed to multiple pollutants simultaneously, but, partially due to lack of flexible statistical methods, most epidemiological studies eit...
Jennifer Bobb +3 more
openaire +1 more source
Estimation of neuronal firing rate using Bayesian Adaptive Kernel Smoother (BAKS). [PDF]
PLoS ONE, 2018 Neurons use sequences of action potentials (spikes) to convey information across neuronal networks. In neurophysiology experiments, information about external stimuli or behavioral tasks has been frequently characterized in term of neuronal firing rate ...
Nur Ahmadi +2 more
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Prenatal and early childhood phthalate exposures and thyroid function among school-age children
Environment International, 2020 Background: Limited studies have investigated the association between prenatal and early childhood phthalate exposures and thyroid function among children.
Kyoung-Nam Kim +7 more
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Frontiers in Endocrinology, 2022 BackgroundsSimultaneous dietary intake of vitamins is considered as a common and real scenario in daily life. However, limited prospective studies have evaluated the association between multivitamins intake and obesity in children and adolescents ...
Weifeng Tang +4 more
doaj +1 more source
Frontiers in Built Environment, 2017 The current work introduces a novel combination of two Bayesian tools, Gaussian Processes (GPs), and the use of the Approximate Bayesian Computation (ABC) algorithm for kernel selection and parameter estimation for machine learning applications.
Anis Ben Abdessalem +3 more
doaj +1 more source
Environment International, 2021 Background: Associations between most single metals and children's intelligence quotient (IQ) scores have been evaluated in previous studies. However, associations between multi-metal exposures and children’s IQ scores have not been analyzed. Objectives:
Minxue Shen +9 more
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Environment International, 2021 Maternal exposure to some individual rare earth elements and trace elements is associated with preterm birth, but few elements have been studied and little is known about the potential effect of simultaneous exposure to multiple elements.
Hui Huang +12 more
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