A Note on Support Vector Machine Degeneracy. - Ryan M. Rifkin; Massimiliano Pontil; Alessandro Verri (ALT, 1999)

From regression to classification in support vector machines. - Massimiliano Pontil; Ryan M. Rifkin; Theodoros Evgeniou (ESANN, 1999)

Molecular classification of multiple tumor types. - Chen-Hsiang Yeang; Sridhar Ramaswamy; Pablo Tamayo; Sayan Mukherjee 001; Ryan M. Rifkin; Michael Angelo; Michael Reich; Eric S. Lander; Jill P. Mesirov; Todd R. Golub (ISMB (Supplement of Bioinformatics), 2001)

Musical query-by-description as a multiclass learning problem. - Brian Whitman; Ryan M. Rifkin (IEEE Workshop on Multimedia Signal Processing, 2002)

A bayesian approach to transcript estimation from gene array data: the BEAM technique. - Ron O. Dror; Jonathan G. Murnick; Nicola A. Rinaldi; Voichita D. Marinescu; Ryan M. Rifkin; Richard A. Young (RECOMB, 2002)

A Stochastic Integer Program with Dual Network Structure and Its Application to the Ground-Holding Problem. - Michael O. Ball; Robert L. Hoffman; Amedeo R. Odoni; Ryan M. Rifkin (Oper. Res., 2003)

Bayesian Estimation of Transcript Levels Using a General Model of Array Measurement Noise. - Ron O. Dror; Jonathan G. Murnick; Nicola J. Rinaldi; Voichita D. Marinescu; Ryan M. Rifkin; Richard A. Young (J. Comput. Biol., 2003)

Estimating Dataset Size Requirements for Classifying DNA Microarray Data. - Sayan Mukherjee 001; Pablo Tamayo; Simon Rogers; Ryan M. Rifkin; Anna Engle; Colin Campbell; Todd R. Golub; Jill P. Mesirov (J. Comput. Biol., 2003)

An Analytical Method for Multiclass Molecular Cancer Classification. - Ryan M. Rifkin; Sayan Mukherjee 001; Pablo Tamayo; Sridhar Ramaswamy; Chen-Hsiang Yeang; Michael Angelo; Michael Reich; Tomaso A. Poggio; Eric S. Lander; Todd R. Golub; Jill P. Mesirov (SIAM Rev., 2003)

In Defense of One-Vs-All Classification. - Ryan M. Rifkin; Aldebaro Klautau (J. Mach. Learn. Res., 2004)

Asymptotics of Gaussian Regularized Least Squares. - Ross A. Lippert; Ryan M. Rifkin (NIPS, 2005)

Learning theory: stability is sufficient for generalization and necessary and sufficient for consistency of empirical risk minimization. - Sayan Mukherjee 001; Partha Niyogi; Tomaso A. Poggio; Ryan M. Rifkin (Adv. Comput. Math., 2006)

Infinite-sigma Limits For Tikhonov Regularization. - Ross A. Lippert; Ryan M. Rifkin (J. Mach. Learn. Res., 2006)

Value Regularization and Fenchel Duality. - Ryan M. Rifkin; Ross A. Lippert (J. Mach. Learn. Res., 2007)