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A comprehensive and self-contained introduction to Gaussian processes, which provide a principled, practical, probabilistic approach to learning in kernel machi
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Gaussian processes can be viewed as a far-reaching infinite-dimensional extension of classical normal random variables. Their theory presents a powerful range o
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This text offers background in function theory, Hardy functions, and probability as preparation for surveys of Gaussian processes, strings and spectral function
Modelling and Control of Dynamic Systems Using Gaussian Process Models
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This monograph opens up new horizons for engineers and researchers in academia and in industry dealing with or interested in new developments in the field of sy
Markov Processes, Gaussian Processes, and Local Times
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This book was first published in 2006. Written by two of the foremost researchers in the field, this book studies the local times of Markov processes by employi