Fusion of Gaussian Processes Predictions with Monte Carlo Sampling

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Distributed Gaussian Processes with Uncertain Inputs

PL Green - IEEE Access, 2024 - ieeexplore.ieee.org
Gaussian Process regression is a powerful non-parametric approach that facilitates
probabilistic uncertainty quantification in machine learning. Distributed Gaussian Process …
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[PDF] arxiv.org

A Gaussian Process-based Streaming Algorithm for Prediction of Time Series With Regimes and Outliers

D Waxman, PM Djurić - 2024 27th International Conference on …, 2024 - ieeexplore.ieee.org
Online prediction of time series under regime switching is a widely studied problem in the
literature, with many celebrated approaches. Using the non-parametric flexibility of Gaussian …
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