A Gaussian process can be used as a prior probability distribution over functions in Bayesian inference.
Gaussian process regression A non-parametric regression model which is equivalent to basis function regression with a Gaussian prior density on the coefficients.
Gaussian processes for machine learning[3]. International Journal of Neural Systems, 14(2):1-38, 2004.
P.H. Chen, C.-J. Lin, and B. Schölkopf. A tutorial on nu -support vector machines [4]. 2003.
N. Cristianini. ICML'01 tutorial[5], 2001.
K.-R.
 See also: Regression, Clustering, Inference, Support vector machine, Classification
  
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