Efficient sparsification for Gaussian process regression

Author:

Schreiter Jens,Nguyen-Tuong Duy,Toussaint Marc

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference25 articles.

1. J. Schreiter, D. Nguyen-Tuong, H. Markert, M. Hanselmann, M. Toussaint, Fast greedy insertion and deletion in sparse Gaussian process regression, in: M. Verleysen (Ed.), Proceedings of the 23rd European Symposium on Artificial Neural Networks, 2015, pp. 101–106.

2. Gaussian Processes for Machine Learning;Rasmussen,2006

3. Learning with Kernels-Support Vector Machines, Regularization, Optimization, and Beyond;Schölkopf,2002

4. Local Gaussian process regression for real time online model learning and control;Nguyen-Tuong,2009

5. A.C. Damianou, N.D. Lawrence, Deep Gaussian processes, in: C.M. Carvalho, P. Ravikumar (Eds.), Proceedings of the 16th International Conference on Artificial Intelligence and Statistics, JMLR: W&CP, vol. 31, 2013, pp. 207–215.

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