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ORCIDRyan M. Rifkin
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2000 – 2009
- 2007
[j8]Ryan M. Rifkin, Ross A. Lippert:
Value Regularization and Fenchel Duality. J. Mach. Learn. Res. 8: 441-479 (2007)- 2006
- [j7]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): 161-193 (2006) - [j6]Ross A. Lippert, Ryan M. Rifkin:
Infinite-sigma Limits For Tikhonov Regularization. J. Mach. Learn. Res. 7: 855-876 (2006) - 2005
- [c6]Ross A. Lippert, Ryan M. Rifkin:
Asymptotics of Gaussian Regularized Least Squares. NIPS 2005: 803-810 - 2004
- [j5]Ryan M. Rifkin, Aldebaro Klautau:
In Defense of One-Vs-All Classification. J. Mach. Learn. Res. 5: 101-141 (2004) - 2003
- [j4]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): 167-171 (2003) - [j3]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): 119-142 (2003) - [j2]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): 433-452 (2003) - [j1]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): 706-723 (2003) - 2002
- [c5]Brian Whitman, Ryan M. Rifkin:
Musical query-by-description as a multiclass learning problem. IEEE Workshop on Multimedia Signal Processing 2002: 153-156 - [c4]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: 137-143 - 2001
- [c3]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: 316-322
1990 – 1999
- 1999
- [c2]Ryan M. Rifkin, Massimiliano Pontil, Alessandro Verri:
A Note on Support Vector Machine Degeneracy. ALT 1999: 252-263 - [c1]Massimiliano Pontil, Ryan M. Rifkin, Theodoros Evgeniou:
From regression to classification in support vector machines. ESANN 1999: 225-230
Coauthor Index
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