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Stochastic Collapsed Variational Inference for Structured Gaussian Process Regression Networks

• Authors : Meng, Rui; Lee, Herbert K. H.; Bouchard, Kristofer

• Source: Studies in Classification, Data Analysis, and Knowledge Organization ; Classification and Data Science in the Digital Age ; page 253-261 ; ISSN 1431-8814 2198-3321 ; ISBN 9783031090332 9783031090349

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Gaussian Process Regression

• Authors : Gramacy, Robert B.

• Source: Surrogates ; page 143-221 ; ISBN 9780367815493

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Paper J. Recursive Gaussian Process Regression. Edited version of the paper: M. F. Huber. Recursive Gaussian Process Regression. In Proceedings of the 38th International Conference on Acoustics, Sound, and Signal Processing (ICASSP), pages 3362-3366, Vancouver, BC, Canada,May 2013

• Authors : Huber, Marco F.

Subjects: ddc:004; DATA processing & computer science; info:eu-repo/classification/ddc/004

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Gaussian Process Regression

• Authors : Wang, Xiaofeng; Yue, Yuryan; Faraway, Julian J.

• Source: Bayesian Regression Modeling with Inla ; page 211-227 ; ISBN 9781351165761

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Paper O. Bayesian Active Object Recognition via Gaussian Process Regression. Edited version of the paper: M. F. Huber, T. Dencker, M. Roschani, and J. Beyerer. Bayesian Active Object Recognition via Gaussian Process Regression. In Proceedings of the 15th International Conference on Information Fusion (Fusion), pages 1718-1725, Singapore, July 2012

• Authors : Huber, Marco F.; Dencker, Tobias; Roschani, Masoud

Subjects: ddc:004; DATA processing & computer science; info:eu-repo/classification/ddc/004

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Generalized Gaussian process regression for non-Gaussian functional data

• Source: Gaussian Process Regression Analysis for Functional Data ; page 119-138 ; ISBN 9781439837733 9781439837740

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Inference and computation for Gaussian process regression (GPR) model

• Source: Gaussian Process Regression Analysis for Functional Data ; page 35-50 ; ISBN 9781439837733 9781439837740

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Continuous-Space Gaussian Process Regression and Generalized Wiener Filtering with Application to Learning Curves

• Authors : Särkkä, Simo; Solin, Arno

• Source: Image Analysis ; Lecture Notes in Computer Science ; page 172-181 ; ISSN 0302-9743 1611-3349 ; ISBN 9783642388859 9783642388866

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Approximation Methods for Gaussian Process Regression

• Authors : Quiñonero-Candela, J.; Rasmussen, C.; Williams, C.

• Source: Large-Scale Kernel Machines ; Neural information processing series

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Gaussian Process Regression Analysis for Functional Data

• Authors : Shi, Jian Qing; Choi, Taeryon

• Source: ISBN 9780429151064.

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