Ryan M. Rifkin

Publication Activity (10 Years)

Years Active: 1999-2007
Publications (10 Years): 0

Publications

Ryan M. Rifkin, Ross A. Lippert
Value Regularization and Fenchel Duality. J. Mach. Learn. Res. 8 (2007)
Sayan Mukherjee, Partha Niyogi, Tomaso A. Poggio, Ryan M. Rifkin
Learning theory: stability is sufficient for generalization and necessary and sufficient for consistency of empirical risk minimization. Adv. Comput. Math. 25 (1-3) (2006)
Ross A. Lippert, Ryan M. Rifkin
Infinite-sigma Limits For Tikhonov Regularization. J. Mach. Learn. Res. 7 (2006)
Ross A. Lippert, Ryan M. Rifkin
Asymptotics of Gaussian Regularized Least Squares. NIPS (2005)
Ryan M. Rifkin, Aldebaro Klautau
In Defense of One-Vs-All Classification. J. Mach. Learn. Res. 5 (2004)
Ryan M. Rifkin, Sayan Mukherjee, Pablo Tamayo, Sridhar Ramaswamy, Chen-Hsiang Yeang, Michael Angelo, Michael Reich, Tomaso A. Poggio, Eric S. Lander, Todd R. Golub, Jill P. Mesirov
An Analytical Method for Multiclass Molecular Cancer Classification. SIAM Rev. 45 (4) (2003)
Ron O. Dror, Jonathan G. Murnick, Nicola J. Rinaldi, Voichita D. Marinescu, Ryan M. Rifkin, Richard A. Young
Bayesian Estimation of Transcript Levels Using a General Model of Array Measurement Noise. J. Comput. Biol. 10 (3/4) (2003)
Sayan Mukherjee, Pablo Tamayo, Simon Rogers, Ryan M. Rifkin, Anna Engle, Colin Campbell, Todd R. Golub, Jill P. Mesirov
Estimating Dataset Size Requirements for Classifying DNA Microarray Data. J. Comput. Biol. 10 (2) (2003)
Michael O. Ball, Robert L. Hoffman, Amedeo R. Odoni, Ryan M. Rifkin
A Stochastic Integer Program with Dual Network Structure and Its Application to the Ground-Holding Problem. Oper. Res. 51 (1) (2003)
Brian Whitman, Ryan M. Rifkin
Musical query-by-description as a multiclass learning problem. IEEE Workshop on Multimedia Signal Processing (2002)
Ron O. Dror, Jonathan G. Murnick, Nicola A. Rinaldi, Voichita D. Marinescu, Ryan M. Rifkin, Richard A. Young
A bayesian approach to transcript estimation from gene array data: the BEAM technique. RECOMB (2002)
Chen-Hsiang Yeang, Sridhar Ramaswamy, Pablo Tamayo, Sayan Mukherjee, Ryan M. Rifkin, Michael Angelo, Michael Reich, Eric S. Lander, Jill P. Mesirov, Todd R. Golub
Molecular classification of multiple tumor types. ISMB (Supplement of Bioinformatics) (2001)
Ryan M. Rifkin, Massimiliano Pontil, Alessandro Verri
A Note on Support Vector Machine Degeneracy. ALT (1999)
Massimiliano Pontil, Ryan M. Rifkin, Theodoros Evgeniou
From regression to classification in support vector machines. ESANN (1999)