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Ryan M. Rifkin
Ryan M. Rifkin
MIT, Google
Verified email at mit.edu
Title
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Cited by
Year
Prediction of central nervous system embryonal tumour outcome based on gene expression
SL Pomeroy, P Tamayo, M Gaasenbeek, LM Sturla, M Angelo, ...
Nature 415 (6870), 436-442, 2002
27092002
Prediction of central nervous system embryonal tumour outcome based on gene expression
SL Pomeroy, P Tamayo, M Gaasenbeek, LM Sturla, M Angelo, ...
Nature 415 (6870), 436-442, 2002
27092002
Multiclass cancer diagnosis using tumor gene expression signatures
S Ramaswamy, P Tamayo, R Rifkin, S Mukherjee, CH Yeang, M Angelo, ...
Proceedings of the National Academy of Sciences 98 (26), 15149-15154, 2001
24832001
In defense of one-vs-all classification
R Rifkin, A Klautau
The Journal of Machine Learning Research 5, 101-141, 2004
23232004
Regularized least-squares classification
R Rifkin, G Yeo, T Poggio
Nato Science Series Sub Series III Computer and Systems Sciences 190, 131-154, 2003
5002003
Molecular classification of multiple tumor types
CH Yeang, S Ramaswamy, P Tamayo, S Mukherjee, RM Rifkin, M Angelo, ...
Bioinformatics 17 (suppl_1), S316-S322, 2001
3962001
General conditions for predictivity in learning theory
T Poggio, R Rifkin, S Mukherjee, P Niyogi
Nature 428 (6981), 419-422, 2004
3362004
Estimating dataset size requirements for classifying DNA microarray data
S Mukherjee, P Tamayo, S Rogers, R Rifkin, A Engle, C Campbell, ...
Journal of computational biology 10 (2), 119-142, 2003
3172003
Everything old is new again: a fresh look at historical approaches in machine learning
RM Rifkin
MaSSachuSettS InStitute of Technology, 2002
2992002
Learning theory: stability is sufficient for generalization and necessary and sufficient for consistency of empirical risk minimization
S Mukherjee, P Niyogi, T Poggio, R Rifkin
Advances in Computational Mathematics 25 (1), 161-193, 2006
245*2006
Learning theory: stability is sufficient for generalization and necessary and sufficient for consistency of empirical risk minimization
S Mukherjee, P Niyogi, T Poggio, R Rifkin
Advances in Computational Mathematics 25 (1), 161-193, 2006
2152006
Improving multiclass text classification with the support vector machine
JDM Rennie, R Rifkin
2112001
A stochastic integer program with dual network structure and its application to the ground-holding problem
MO Ball, R Hoffman, AR Odoni, R Rifkin
Operations research 51 (1), 167-171, 2003
2032003
Notes on regularized least squares
RM Rifkin, RA Lippert
1612007
Generating a playlist
GA Heitz III, A Berenzweig, JE Weston, RJ Weiss, SA Goldman, T Walters, ...
US Patent 10,055,493, 2018
1312018
Using the fisher kernel method for web audio classification
PJ Moreno, R Rifkin
2000 IEEE International Conference on Acoustics, Speech, and Signal …, 2000
1272000
Scalable learning of non-decomposable objectives
E Eban, M Schain, A Mackey, A Gordon, R Rifkin, G Elidan
Artificial intelligence and statistics, 832-840, 2017
952017
An analytical method for multiclass molecular cancer classification
R Rifkin, S Mukherjee, P Tamayo, S Ramaswamy, CH Yeang, M Angelo, ...
Siam Review 45 (4), 706-723, 2003
932003
Musical query-by-description as a multiclass learning problem
B Whitman, R Rifkin
2002 IEEE Workshop on Multimedia Signal Processing., 153-156, 2002
732002
Value Regularization and Fenchel Duality.
RM Rifkin, RA Lippert
Journal of Machine Learning Research 8 (3), 2007
712007
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