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Random fields and Gaussian processes constitute fundamental frameworks in modern probability theory and spatial statistics, providing robust tools for modelling complex dependencies over space and ...
Gaussian processes offer a versatile framework to model and analyse continuous random phenomena, making them particularly useful in quantifying the probability of ruin in financial and insurance ...
Journal of the Royal Statistical Society. Series B (Statistical Methodology), Vol. 73, No. 4 (SEPTEMBER 2011), pp. 531-558 (28 pages) We propose and analyse fully data-driven methods for inference ...
We address two important issues in Gaussian process (GP) modeling. One is how to reduce the computational complexity in GP modeling and the other is how to simultaneous perform variable selection and ...
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Gaussian processes provide a new path toward quantum machine learning
Neural networks revolutionized machine learning for classical computers: self-driving cars, language translation and even artificial intelligence software were all made possible. It is no wonder, then ...
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