nLab Bernhard Schölkopf

• webpage

• Wikipedia entry

Selected writings

On kernel methods in machine learning:

• Thomas Hofmann, Bernhard Schölkopf, Alexander J. Smola, Kernel methods in machine learning, Annals of Statistics 2008, Vol. 36, No. 3, 1171-1220 (arXiv:math/0701907)

On Bochner's theorem generalized to non-abelian groups in the context of kernel methods:

• Kenji Fukumizu, Bharath Sriperumbudur, Arthur Gretton, Bernhard Schölkopf, Characteristic Kernels on Groups and Semigroups, Advances in Neural Information Processing Systems 21 : 22nd Annual Conference on Neural Information Processing Systems 2008 (NIPS 2008), 473-480 (mpg:5466, pdf)

On some philosophical aspects of statistical learning theory:

• David Corfield, Bernhard Schölkopf, Vladimir Vapnik, Falsificationism and statistical learning theory: Comparing the Popper and Vapnik-Chervonenkis dimensions, 2009, Journal for General Philosophy of Science 40 (1), 51-58 (doi:10.1007/s10838-009-9091-3)

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