Web: http://arxiv.org/abs/2201.11023

Jan. 27, 2022, 2:10 a.m. | John Nicholson, Peter Kiessler, D. Andrew Brown

stat.ML updates on arXiv.org arxiv.org

Gaussian processes are among the most useful tools in modeling continuous
processes in machine learning and statistics. If the value of a process is
known at a finite collection of points, one may use Gaussian processes to
construct a surface which interpolates these values to be used for prediction
and uncertainty quantification in other locations. However, it is not always
the case that the available information is in the form of a finite collection
of points. For example, boundary value …

arxiv information kernel math modelling processes

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