Results 21 to 30 of about 346,567 (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
doaj +1 more source
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
doaj +1 more source
Gaussian Processes and Gaussian Measures
The Annals of Mathematical Statistics, 1972 The subject of this paper is the study of the correspondence between Gaussian processes with paths in linear function spaces and Gaussian measures on function spaces. For the function spaces $C(I), C^n\lbrack a, b\rbrack, AC\lbrack a, b\rbrack$ and $L_2(T, \mathscr{A}, \nu)$ it is shown that if a Gaussian process has paths in these spaces then it ...
Rajput, Balram S., Cambanis, Stamatis
openaire +2 more sources
Recurrent Gaussian processes [PDF]
, 2015 Published as a conference paper at ICLR 2016.
Mattos, C.L.C. +5 more
openaire +3 more sources
Gaussian process model based predictive control [PDF]
, 2003 Gaussian process models provide a probabilistic non-parametric modelling approach for black-box identification of non-linear dynamic systems. The Gaussian processes can highlight areas of the input space where prediction quality is poor, due to the lack ...
Kocijan, J. +17 more
core +1 more source
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 ...
openaire +3 more sources
Multisensor Estimation Fusion with Gaussian Process for Nonlinear Dynamic Systems
Entropy, 2019 The Gaussian process is gaining increasing importance in different areas such as signal processing, machine learning, robotics, control and aerospace and electronic systems, since it can represent unknown system functions by posterior probability.
Yiwei Liao +3 more
doaj +1 more source
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
doaj +1 more source
Scenario Optimisation and Sensitivity Analysis for Safe Automated Driving Using Gaussian Processes
Applied Sciences, 2021 Assuring the safety of automated vehicles is essential for their timely introduction and acceptance by policymakers and the public. To assess their safe design and robust decision making in response to all possible scenarios, new methods that use a ...
Felix Batsch +3 more
doaj +1 more source
Hierarchical Gaussian process mixtures for regression [PDF]
, 2005 As a result of their good performance in practice and their desirable analytical properties, Gaussian process regression models are becoming increasingly of interest in statistics, engineering and other fields.
Titterington, D.M. +2 more
core +1 more source