Ryan M. Rifkin

According to our database1, Ryan M. Rifkin authored at least 14 papers between 1999 and 2007.

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Bibliography

2007
Value Regularization and Fenchel Duality.
J. Mach. Learn. Res., 2007

2006
Infinite-sigma Limits For Tikhonov Regularization.
J. Mach. Learn. Res., 2006

Learning theory: stability is sufficient for generalization and necessary and sufficient for consistency of empirical risk minimization.
Adv. Comput. Math., 2006

2005
Asymptotics of Gaussian Regularized Least Squares.
Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

2004
In Defense of One-Vs-All Classification.
J. Mach. Learn. Res., 2004

2003
An Analytical Method for Multiclass Molecular Cancer Classification.
SIAM Rev., 2003

Estimating Dataset Size Requirements for Classifying DNA Microarray Data.
J. Comput. Biol., 2003

Bayesian Estimation of Transcript Levels Using a General Model of Array Measurement Noise.
J. Comput. Biol., 2003

A Stochastic Integer Program with Dual Network Structure and Its Application to the Ground-Holding Problem.
Oper. Res., 2003

2002
A bayesian approach to transcript estimation from gene array data: the BEAM technique.
Proceedings of the Sixth Annual International Conference on Computational Biology, 2002

Musical query-by-description as a multiclass learning problem.
Proceedings of the IEEE 5th Workshop on Multimedia Signal Processing, 2002

2001
Molecular classification of multiple tumor types.
Proceedings of the Ninth International Conference on Intelligent Systems for Molecular Biology, 2001

1999
From regression to classification in support vector machines.
Proceedings of the 7th European Symposium on Artificial Neural Networks, 1999

A Note on Support Vector Machine Degeneracy.
Proceedings of the Algorithmic Learning Theory, 10th International Conference, 1999


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