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Nonparametric Regression via Variance-Adjusted Gradient Boosting Gaussian Process Regression
IEEE Transactions on Knowledge and Data Engineering, 2021Hsin-Min Lu +2 more
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Sparse Spectrum Gaussian Process Regression.
J. Mach. Learn. Res., 2010We present a new sparse Gaussian Process (GP) model for regression. The key novel idea is to sparsify the spectral representation of the GP. This leads to a simple, practical algorithm for regression tasks. We compare the achievable trade-offs between predictive accuracy and computational requirements, and show that these are typically superior to ...
Lázaro-Gredilla, M. +3 more
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Dynamic Transfer Gaussian Process Regression
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022Pengfei Wei 0001 +3 more
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Gaussian Process Regression for Materials and Molecules
Chemical Reviews, 2021Volker L Deringer +2 more
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A tutorial on Gaussian process regression: Modelling, exploring, and exploiting functions
Journal of Mathematical Psychology, 2018Eric Schulz +2 more
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Gaussian process regression for multivariate spectroscopic calibration
Chemometrics and Intelligent Laboratory Systems, 2007Tao Chen, Julian Morris
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Biomass estimation in batch biotechnological processes by Bayesian Gaussian process regression
Computers and Chemical Engineering, 2008Fernando Di Sciascio
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