Christopher K. I. Williams and Matthias Seeger. Using the nystrom method to speed up kernel machines. In Proc. of NIPS, pages 682--688, Denver, CO, 2000.  Home/Search Document Not in Database Summary Related Articles Check |
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Bayesian Gaussian Process Models: PAC-Bayesian Generalisation.. - Seeger (2003) (3 citations) Self-citation (Seeger) (Correct)
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Christopher K. I. Williams and Matthias Seeger. Using the Nystrom method to speed up kernel machines. In Leen et al. [101], pages 682--688.
Fast Sparse Gaussian Process Methods: The Informative.. - Lawrence, Seeger.. (2003) (6 citations) Self-citation (Seeger) (Correct)
....case running time between O(n ) and O(n d) with memory requirements significantly less than n . Note, however, that without any restrictions on the data distribution, d can rise to n. In an e#ort to overcome scaling problems a range of sparse GP approximations have been proposed [1, 8, 9, 10, 11]. However, none of these has fully achieved the goals of being a nontrivial approximation to a non sparse GP model and matching the SVM w.r.t. both prediction performance and run time. The algorithm proposed here accomplishes these objectives and, as our experiments show, can even be significantly ....
....sensible approximations, is an open question. We would expect SVMs to catch up with IVMs on tasks which require fairly large active sets, and for which very simple and fast covariance functions are appropriate (e.g. sparse input patterns) Among the many proposed sparse GP approximations [1, 8, 9, 10, 11], our method is most closely related to [1] The latter is a sparse Bayesian online scheme which does not employ greedy selections and uses a more accurate likelihood approximation than we do, at the expense of slightly worse training time scaling, especially when compared with our randomized ....
Christopher K. I. Williams and Matthias Seeger. Using the Nystrom method to speed up kernel machines. In Advances in NIPS 13, pages 682--688, 2001.
Practical Procedures for Dimension Reduction in l_1 - Li, Hastie, Church (Correct)
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Christopher K. I. Williams and Matthias Seeger. Using the nystrom method to speed up kernel machines. In Proc. of NIPS, pages 682--688, Denver, CO, 2000.
Nonlinear Dimensionality Reduction by Semidefinite.. - Weinberger, Packer, Saul (2005) (1 citation) (Correct)
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Christopher K. I. Williams and Matthias Seeger. Using the Nystrom method to speed up kernel machines. In T. Leen, T. Dietterich, and V. Tresp, editors, Neural Information Processing Systems 13, pages 682-- 688, Cambridge, MA, 2001. MIT Press.
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