Fast Gaussian Process Regression using KD-Trees
Shen, Yirong, Seeger, Matthias, Ng, Andrew Y.
–Neural Information Processing Systems
This makes Gaussian process regression too slow for large datasets. In this paper, we present a fast approximation method, based on kd-trees, that significantly reduces both the prediction and the training times of Gaussian process regression.
Neural Information Processing Systems
Dec-31-2006