Machine Learning, Time Series Analysis, Support Vector Machine, Gaussian Process, Kernel Methods.
prior of the form where g is a mean-zero stationary Gaussian process, and f(x) is a Gaussian process with mean function the identity function m(x)=x, and with translation-invariant covariance function. This mean function aims at using ‘no input modulation’ as the baseline, while the