Sparse Gaussian Processes using Pseudo-inputs
Snelson, Edward, Ghahramani, Zoubin
–Neural Information Processing Systems
We present a new Gaussian process (GP) regression model whose covariance is parameterized by the the locations of M pseudo-input points, which we learn by a gradient based optimization.
Neural Information Processing Systems
Dec-31-2006