A prior near-ignorance Gaussian process model for nonparametric regression
نویسندگان
چکیده
منابع مشابه
A prior near-ignorance Gaussian process model for nonparametric regression
A Gaussian Process (GP) defines a distribution over functions and thus it is a natural prior distribution for learning real-valued functions from a set of noisy data. GPs offer a great modeling flexibility and have found widespread application in many regression problems. A GP is fully defined by a mean function that represents our prior belief about the shape of the regression function and a c...
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ژورنال
عنوان ژورنال: International Journal of Approximate Reasoning
سال: 2016
ISSN: 0888-613X
DOI: 10.1016/j.ijar.2016.07.005