mloss.org AdditiveGP Toolkit for Fast GP Inference using Projected Additive ApproximationUpdates and additions to AdditiveGP Toolkit for Fast GP Inference using Projected Additive ApproximationenSat, 14 Sep 2013 21:25:18 -0000AdditiveGP Toolkit for Fast GP Inference using Projected Additive Approximation 0.1/software/view/501/<html><p>Exact Gaussian Process (GP) regression has O(N^3) runtime for data size N, making it intractable for large N. AdditiveGP package allows the use of projected additive approximations for multidimensional GP models lowering the runtime complexity to O(N). </p></html>Elad Gilboa, Yunus Saatci, John CunninghamSat, 14 Sep 2013 21:25:18 -0000/software/rss/comments/501/software/view/501/kernelgaussian processesmultidimensional