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A first course in machine learning

, and . Chapman & Hall/CRC Machine Learning & Pattern Recognition Series Chapman & Hall/CRC, Boca Raton, Florida, First edition, (2012)

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The synthesis of data from instrumented structures and physics-based models via Gaussian processes, , , , and . (2018)cite arxiv:1811.10882.Neural parameter calibration for large-scale multi-agent models., , and . CoRR, (2022)Theoretical Guarantees for the Statistical Finite Element Method., , , and . SIAM/ASA J. Uncertain. Quantification, 11 (4): 1278-1307 (December 2023)Statistical Finite Elements via Langevin Dynamics., , , and . CoRR, (2021)Improving embedding of graphs with missing data by soft manifolds., , , , and . CoRR, (2023)Low-rank statistical finite elements for scalable model-data synthesis., , , and . CoRR, (2021)Encoding Domain Expertise into Multilevel Models for Source Location., , , , and . CoRR, (2023)Near Real-Time Social Distance Estimation In London., , , , , , , , and . Comput. J., 67 (1): 95-109 (January 2024)The Geometric Foundations of Hamiltonian Monte Carlo, , , and . (2014)cite arxiv:1410.5110Comment: 45 pages, 13 figures.Uncertainty Quantification for Data-driven Turbulence Modelling with Mondrian Forests, , and . (2020)cite arxiv:2003.01968Comment: 24 pages, 21 figures, submitted to Journal of Computational Physics.