Results 21 to 30 of about 844,595 (275)
Modern Stochastics: Theory and Applications, 2015 We show that every multiparameter Gaussian process with integrable variance function admits a Wiener integral representation of Fredholm type with respect to the Brownian sheet.
Tommi Sottinen, Lauri Viitasaari
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A Discriminative Multi-Output Gaussian Processes Scheme for Brain Electrical Activity Analysis
Applied Sciences, 2020 The study of brain electrical activity (BEA) from different cognitive conditions has attracted a lot of interest in the last decade due to the high number of possible applications that could be generated from it.
Cristian Torres-Valencia +4 more
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Gaussian processes for computer experiments
ESAIM: Proceedings and Surveys, 2017 This paper collects the contributions which were presented during the session devoted to Gaussian processes at the Journées MAS 2016. First, an introduction to Gaussian processes is provided, and some current research questions are discussed.
Bachoc François +3 more
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On the Degeneracy between fσ8 Tension and Its Gaussian Process Forecasting
Universe, 2022 In this Article, we reconstruct the growth and evolution of the cosmic structure of the Universe using Markov chain Monte Carlo algorithms for Gaussian processes.
Mauricio Reyes, Celia Escamilla-Rivera
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Infinite Mixtures of Multivariate Gaussian Processes [PDF]
, 2013 This paper presents a new model called infinite mixtures of multivariate Gaussian processes, which can be used to learn vector-valued functions and applied to multitask learning.
Sun, Shiliang
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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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Large Deviation Principle for Enhanced Gaussian Processes [PDF]
, 2006 We study large deviation principles for Gaussian processes lifted to the free nilpotent group of step N. We apply this to a large class of Gaussian processes lifted to geometric rough paths.
Friz, Peter, Victoir, Nicolas
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Gaussian processes in ball bearing prognostics
Dyna, 2017 In this work, vibration analysis and Gaussian Processes techniques are used in useful life prognostics of ball bearings. The database is provided by The Prognostics Data Repository from NASA, and shows the failure evolution in ball bearings.
Juan Fernando López-López +2 more
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Intrinsic Gaussian processes on complex constrained domains [PDF]
, 2018 We propose a class of intrinsic Gaussian processes (in-GPs) for interpolation, regression and classification on manifolds with a primary focus on complex constrained domains or irregular shaped spaces arising as subsets or submanifolds of R, R2, R3 and ...
Aumentado-Armstrong +29 more
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Quantum Stochastic Calculus and Quantum Gaussian Processes [PDF]
, 2014 In this lecture we present a brief outline of boson Fock space stochastic calculus based on the creation, conservation and annihilation operators of free field theory, as given in the 1984 paper of Hudson and Parthasarathy.
Parthasarathy, K. R.
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