Results 21 to 30 of about 5,652,238 (291)
CoRR, 2020 We present a new framework for recycling independent variational approximations to Gaussian processes. The main contribution is the construction of variational ensembles given a dictionary of fitted Gaussian processes without revisiting any subset of observations. Our framework allows for regression, classification and heterogeneous tasks, i.e.
Moreno-Muñoz, P. +2 more
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Gaussian Processes on Hypergraphs
CoRR, 2021 25 pages, 6 ...
Thomas Pinder +3 more
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Splitting Gaussian processes for computationally-efficient regression.
PLoS ONE, 2021 Gaussian processes offer a flexible kernel method for regression. While Gaussian processes have many useful theoretical properties and have proven practically useful, they suffer from poor scaling in the number of observations.
Nick Terry, Youngjun Choe
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Sparse Gaussian Processes on Discrete Domains
IEEE Access, 2021 Kernel methods on discrete domains have shown great promise for many challenging data types, for instance, biological sequence data and molecular structure data.
Vincent Fortuin +3 more
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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 source x ( ⋅ )
Felipe Tobar +2 more
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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
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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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Recurrent Gaussian processes [PDF]
, 2015 Published as a conference paper at ICLR 2016.
Mattos, C.L.C. +5 more
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Generalized dimensions of images of measures under Gaussian processes [PDF]
, 2014 26 pagesWe show that for certain Gaussian random processes and fields X:RN→Rd, Dq(μx) = min {d, 1/α Dq (μ)} a.s., for an index α which depends on Hölder properties and strong local nondeterminism of X, where q>1, where Dq denotes generalized q-dimension ...
Falconer, Kenneth, Xiao, Yimin
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CONVEX BODIES AND GAUSSIAN PROCESSES
Image Analysis and Stereology, 2011 For several decades, the topics of the title have had a fruitful interaction. This survey will describe some of these connections, including the GB/GC classification of convex bodies, Ito-Nisio singularities from a geometric viewpoint, Gaussian ...
Richard A Vitale
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