Ryan M. Rifkin
Ryan M. Rifkin
MIT, Google
Verified email at mit.edu
Title
Cited by
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
26292002
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
26292002
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
24192001
In defense of one-vs-all classification
R Rifkin, A Klautau
The Journal of Machine Learning Research 5, 101-141, 2004
22212004
Regularized least-squares classification
R Rifkin, G Yeo, T Poggio
Nato Science Series Sub Series III Computer and Systems Sciences 190, 131-154, 2003
4902003
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
3822001
General conditions for predictivity in learning theory
T Poggio, R Rifkin, S Mukherjee, P Niyogi
Nature 428 (6981), 419-422, 2004
3302004
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
3052003
Everything old is new again: a fresh look at historical approaches in machine learning
RM Rifkin
MaSSachuSettS InStitute of Technology, 2002
2932002
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
236*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
2052006
Improving multiclass text classification with the support vector machine
JDM Rennie, R Rifkin
2032001
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
1912003
Notes on regularized least squares
RM Rifkin, RA Lippert
1402007
Generating a playlist
GA Heitz III, A Berenzweig, JE Weston, RJ Weiss, SA Goldman, T Walters, ...
US Patent 10,055,493, 2018
1292018
Using the fisher kernel method for web audio classification
PJ Moreno, R Rifkin
2000 IEEE International Conference on Acoustics, Speech, and Signal …, 2000
1272000
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
912003
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
742017
Musical query-by-description as a multiclass learning problem
B Whitman, R Rifkin
2002 IEEE Workshop on Multimedia Signal Processing., 153-156, 2002
742002
Value Regularization and Fenchel Duality.
RM Rifkin, RA Lippert
Journal of Machine Learning Research 8 (3), 2007
722007
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