Radial basis function kernel: Difference between revisions

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=== Nyström method ===

Another approach uses the [[Nyström method]] to approximate the [[eigendecomposition]] of the [[Gramian matrix|Gram matrix]] ''K'', using only a random sample of the training set.<ref>{{cite journal |authorsauthor1=C.K.I. Williams and |author2=M. Seeger |title=Using the Nyström method to speed up kernel machines |journal=Advances in Neural Information Processing Systems |year=2001 |volume=13 |url= http://papers.nips.cc/paper/1866-using-the-nystrom-method-to-speed-up-kernel-machines}}</ref>

==See also==