Results 11 to 20 of about 291,981 (317)
Journal of Marine Science and Engineering, 2021 Maritime transport plays a vital role in economic development. To establish a vessel scheduling model, accurate ship maneuvering models should be used to optimize the strategy and maximize the economic benefits.
Yifan Xue +3 more
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Gaussian process cosmography [PDF]
Physical Review D, 2012 Gaussian processes provide a method for extracting cosmological information from observations without assuming a cosmological model. We carry out cosmography -- mapping the time evolution of the cosmic expansion -- in a model-independent manner using kinematic variables and a geometric probe of cosmology.
Arman Shafieloo +4 more
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An automation system for vehicle driveability evaluation using machine learning
Nihon Kikai Gakkai ronbunshu, 2022 The drivability is one of the important aspects of vehicle dynamic performances. To ensure quality of the drivability performance, comprehensive screening evaluation is necessary by controlling both complicated driver operation and vehicle behavior ...
Hisashi TAJIMA +4 more
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Recurrent Gaussian processes [PDF]
, 2015 Published as a conference paper at ICLR 2016.
Mattos, C.L.C. +5 more
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Revisiting cosmography via Gaussian process
European Physical Journal C: Particles and Fields, 2023 In this paper, we revisit the kinematical state of our Universe via the cosmographic approach by using Gaussian process, where the minimum assumption is the cosmological principle, i.e. the Friedmann–Lemaître–Robertson–Walker metric.
Jinyi Liu +3 more
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Gaussian process hydrodynamics
Applied Mathematics and Mechanics, 2023 AbstractWe present a Gaussian process (GP) approach, called Gaussian process hydrodynamics (GPH) for approximating the solution to the Euler and Navier-Stokes (NS) equations. Similar to smoothed particle hydrodynamics (SPH), GPH is a Lagrangian particle-based approach that involves the tracking of a finite number of particles transported by a flow ...
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Gaussian process deconvolution
Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, 2023 Let us consider the deconvolution problem, i.e. to recover a latent sourcex(⋅)from the observationsy=[y1,…,yN]of a convolution processy=x⋆h+η, whereηis an additive noise, the observations inymight have missing parts with respect toy, and the filterhcould be unknown.
Felipe Tobar +2 more
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Design Support of function of brassiere cup using gaussian process regression
Nihon Kikai Gakkai ronbunshu, 2021 A method to design the function of the brassiere cup shape as developable surfaces and its developed shape using Gaussian Process Regression is proposed.
Kotaro YOSHIDA +3 more
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Continuity of Gaussian Processes [PDF]
The Annals of Probability, 1986 The author first gives a generalization of \textit{M. B. Marcus} and \textit{L. A. Shepp}'s [Proc. Sixth Berkeley Sympos. math. Statist. Probab., Univ. Calif. 1970, 2, 423-441 (1972; Zbl 0379.60040)] theorem on the equivalence between sample continuity of a Gaussian process defined on a compact subset of a metric space, and a.s.
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Sequentially Estimating the Approximate Conditional Mean Using Extreme Learning Machines
Entropy, 2020 This study examined the extreme learning machine (ELM) applied to the Wald test statistic for the model specification of the conditional mean, which we call the WELM testing procedure.
Lijuan Huo, Jin Seo Cho
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