Results 51 to 60 of about 1,258,060 (324)
Additive Kernels for Gaussian Process Modeling [PDF]
, 2010 Gaussian Process (GP) models are often used as mathematical approximations of computationally expensive experiments. Provided that its kernel is suitably chosen and that enough data is available to obtain a reasonable fit of the simulator, a GP model can
Durrande, Nicolas +2 more
core +2 more sources
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Cognitive impairment, fatigue, and depression are common in multiple sclerosis (MS), potentially due to disruption of regional functional connectivity caused by white matter (WM) lesions. We explored whether WM lesions functionally connected to specific brain regions contribute to these MS‐related manifestations.
Alessandro Franceschini +7 more
wiley +1 more source
Algorithms, 2021 Probabilistic solar power forecasting has been critical in Southern Africa because of major shortages of power due to climatic changes and other factors over the past decade. This paper discusses Gaussian process regression (GPR) coupled with core vector
Edina Chandiwana +2 more
doaj +1 more source
Student-t Processes as Alternatives to Gaussian Processes [PDF]
, 2014 We investigate the Student-t process as an alternative to the Gaussian process as a nonparametric prior over functions. We derive closed form expressions for the marginal likelihood and predictive distribution of a Student-t process, by integrating away ...
Ghahramani, Zoubin +2 more
core +1 more source
Diffusion Tractography Biomarker for Epilepsy Severity in Children With Drug‐Resistant Epilepsy
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective To develop a novel deep‐learning model of clinical DWI tractography that can accurately predict the general assessment of epilepsy severity (GASE) in pediatric drug‐resistant epilepsy (DRE) and test if it can screen diverse neurocognitive impairments identified through neuropsychological assessments.
Jeong‐Won Jeong +7 more
wiley +1 more source
Quantum Gaussian process model of potential energy surface for a polyatomic molecule [PDF]
, 2022 Jun Dai, Roman V. Krems
openalex +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objectives To evaluate the utility of cerebrospinal fluid (CSF) biomarkers—matrix metalloproteinase‐9 (MMP‐9), tissue inhibitor of metalloproteinases‐1 (TIMP‐1), the MMP‐9/TIMP‐1 ratio, and osteopontin (OPN)—as indicators of blood–brain barrier (BBB) integrity and disease activity in people with relapsing–remitting multiple sclerosis (pwMS ...
Ivan Pavlovic +6 more
wiley +1 more source
Surrogate modeling of waveform response using singular value decomposition and Bayesian optimization
Journal of Advanced Mechanical Design, Systems, and Manufacturing, 2021 In the early stage of vehicle development, it is required to implement a target cascading study by solving inverse problems. However, simulation costs of vehicle dynamics to predict transient responses and frequency responses make the target cascading ...
Kohei SHINTANI +4 more
doaj +1 more source
Probabilistic detection of impacts using the PFEEL algorithm with a Gaussian Process Regression Model [PDF]
, 2023 Yohanna MejiaCruz +3 more
openalex +1 more source
Gaussian process models for periodicity detection [PDF]
, 2016 We consider the problem of detecting and quantifying the periodic component of a function given noise-corrupted observations of a limited number of input/output tuples.
Durrande, Nicolas +3 more
core +2 more sources