Fisher Discriminant Analysis With Kernels (1999)

by Sebastian Mika , Gunnar Rätsch , Jason Weston , Bernhard Schölkopf , Klaus-Robert Müller
Citations:358 - 15 self

Active Bibliography

391 An introduction to kernel-based learning algorithms – Klaus-Robert Müller, Sebastian Mika, Gunnar Rätsch, Koji Tsuda, Bernhard Schölkopf - 2001
688 Statistical pattern recognition: A review – Anil K. Jain, Robert P. W. Duin, Jianchang Mao - 2000
493 A tutorial on support vector regression – Alex J. Smola, Bernhard Schölkopf - 2004
584 Sparse Bayesian Learning and the Relevance Vector Machine – Michael E. Tipping, Alex Smola - 2001
2356 A tutorial on support vector machines for pattern recognition – Christopher J. C. Burges - 1998
1073 Nonlinear component analysis as a kernel eigenvalue problem – Bernhard Schölkopf, Alexander Smola, Klaus-Robert Müller - 1996
587 Greedy Function Approximation: A Gradient Boosting Machine – Jerome H. Friedman - 2000
9218 The Nature of Statistical Learning Theory – Vladimir N. Vapnik - 1995
507 Comparison of discrimination methods for the classification of tumors using gene expression data – Sandrine Dudoit, Jane Fridlyand, Terence P. Speed - 2002