Active Bibliography

1 Pegasos: Primal estimated sub-gradient – Shai Shalev-shwartz, Yoram Singer, Nathan Srebro, Andrew Cotter, Yoram Singer, Nathan Srebro, Andrew Cotter - 2007
Mathematical Programming manuscript No. (will be inserted by the editor) Pegasos: Primal Estimated sub-GrAdient SOlver for SVM – Shai Shalev-shwartz, Yoram Singer Nathan, Srebro Andrew Cotter, Shai Shalev-shwartz, Yoram Singer, Nathan Srebro, Andrew Cotter
493 A tutorial on support vector regression – Alex J. Smola, Bernhard Schölkopf - 2004
391 An introduction to kernel-based learning algorithms – Klaus-Robert Müller, Sebastian Mika, Gunnar Rätsch, Koji Tsuda, Bernhard Schölkopf - 2001
521 Estimating the Support of a High-Dimensional Distribution – Bernhard Schölkopf, John C. Platt, John Shawe-taylor, Alex J. Smola, Robert C. Williamson - 1999
698 Gene selection for cancer classification using support vector machines – Isabelle Guyon, Jason Weston, Stephen Barnhill, Vladimir Vapnik, Nello Cristianini
688 Statistical pattern recognition: A review – Anil K. Jain, Robert P. W. Duin, Jianchang Mao - 2000
301 Online passiveaggressive algorithms – Koby Crammer, Ofer Dekel, Shai Shalev-shwartz, Yoram Singer - 2006
2084 Online Learning with Kernels – Jyrki Kivinen, Alexander J. Smola, Robert C. Williamson - 2003