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Distributed robust Gaussian Process regression
Knowledge and Information Systems, 2017We study distributed and robust Gaussian Processes where robustness is introduced by a Gaussian Process prior on the function values combined with a Student-t likelihood. The posterior distribution is approximated by a Laplace Approximation, and together with concepts from Bayesian Committee Machines, we efficiently distribute the computations and ...
Sebastian Mair, Ulf Brefeld
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Bagging for Gaussian process regression
Neurocomputing, 2009This paper proposes the application of bagging to obtain more robust and accurate predictions using Gaussian process regression models. The training data are re-sampled using the bootstrap method to form several training sets, from which multiple Gaussian process models are developed and combined through weighting to provide predictions.
Chen, T, Ren, J
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Bayesian Regression and Gaussian Processes
2020This chapter introduces Bayesian regression and shows how it extends many of the concepts in the previous chapter. We develop kernel based machine learning methods—specifically Gaussian process regression, an important class of Bayesian machine learning methods—and demonstrate their application to “surrogate” models of derivative prices.
Matthew F. Dixon +2 more
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Transfer Learning Based Visual Tracking with Gaussian Processes Regression
European Conference on Computer Vision, 2014Jin Gao +3 more
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Tensor-variate Gaussian processes regression and its application to video surveillance
IEEE International Conference on Acoustics, Speech, and Signal Processing, 2014Qibin Zhao +3 more
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Incorporating prior model into Gaussian processes regression for WEDM process modeling
Expert systems with applications, 2009Jin Yuan +4 more
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Dependant Gaussian processes regression for intelligent sampling of freeform and structured surfaces
, 2017Yuehong Yin, M. Ren, Lijian Sun
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Gaussian Processes in Machine Learning
Advanced Lectures on Machine Learning, 2003Carl E. Rasmussen
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International Encyclopedia of Statistical Science, 2020
Neil D. Lawrence
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Neil D. Lawrence
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