R. Rifkin

Pedro J. Moreno, Ryan Rifkin, R. Rifkin, 2000, 2000 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.00CH37100).

Notes on Regularized Least Squares

R. Rifkin, R. Lippert, 2007 .

Bagging Regularizes

T. Poggio, S. Mukherjee, R. Rifkin, 2002 .

Scalable Learning of Non-Decomposable Objectives

Elad Eban, Gal Elidan, Alan Mackey, 2016, AISTATS.

Infinite-σ Limits For Tikhonov Regularization

R. Rifkin, R. Lippert, 2006 .

Regularized Least Squares 9 . 520 Class 04 , 21 February 2006

R. Rifkin, 2006 .

Prediction of central nervous system embryonal tumour outcome based on gene expression

T. Poggio, J. Mesirov, E. Lander, 2002, Nature.

Phonetic Classification Using Hierarchical, Feed-forward, Spectro-temporal Patch-based Architectures

T. Poggio, R. Rifkin, Minjoon Kouh, 2007 .

AClass: A simple, online, parallelizable algorithm for probabilistic classification

Joshua B. Tenenbaum, Daniel M. Roy, Vikash K. Mansinghka, 2007, AISTATS.

Infinite-sigma Limits For Tikhonov Regularization

Ryan M. Rifkin, Ross Lippert, R. Rifkin, 2006, J. Mach. Learn. Res..

Everything old is new again: a fresh look at historical approaches in machine learning

Tomaso Poggio, Ryan Rifkin, Tomaso Poggio, 2002 .

Learning the sound of musical instruments

R. Rifkin, D. Ellis, 2022 .

Value Regularization and Fenchel Duality

Ryan M. Rifkin, Ross Lippert, R. Rifkin, 2007, J. Mach. Learn. Res..

Regression and Classification with Regularization

T. Poggio, Sayan Mukherjee, R. Rifkin, 2003 .

An Analytical Method for Multiclass Molecular Cancer Classification

Sayan Mukherjee, Jill P. Mesirov, Sridhar Ramaswamy, 2003, SIAM Rev..

Molecular classification of multiple tumor types

Sayan Mukherjee, Jill P. Mesirov, Sridhar Ramaswamy, 2001, ISMB.

Bayesian Estimation of Transcript Levels Using a General Model of Array Measurement Noise

Ron O. Dror, Jonathan G. Murnick, Nicola J. Rinaldi, 2003, J. Comput. Biol..

A bayesian approach to transcript estimation from gene array data: the BEAM technique

Ron O. Dror, Jonathan G. Murnick, Voichita D. Marinescu, 2002, RECOMB '02.

Bayesian Methods for Transcript Level Estimation from Noisy Array Measurements

Nicola J. Rinaldi, Voichita D. Marinescu, R. Young, 2001 .

Estimating Dataset Size Requirements for Classifying DNA Microarray Data

Sayan Mukherjee, Jill P. Mesirov, Colin Campbell, 2003, J. Comput. Biol..

Musical query-by-description as a multiclass learning problem

Ryan M. Rifkin, Brian Whitman, R. Rifkin, 2002, 2002 IEEE Workshop on Multimedia Signal Processing..

Support Vector Machine Classification of Microarray Data

Jill P. Mesirov, Donna K. Slonim, Tomaso A. Poggio, 2001 .

Improving Multiclass Text Classification with the Support Vector Machine

Jason D. M. Rennie, Ryan Rifkin, R. Rifkin, 2001 .

MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY and CENTER FOR BIOLOGICAL AND COMPUTATIONAL LEARNING DEPARTMENT OF BRAIN AND COGNITIVE SCIENCES A.I. Memo No.XXXX C.B.C.L Paper No.XXX An Empirical Comparison of SNoW and SVMs For Face Detection

Mariano Alvira, Ryan Rifkin, R. Rifkin, 2001 .

Statistical Learning: Stability is Sufficient for Generalization and Necessary and Sufficient for Consistency of Empirical Risk Minimization

T. Poggio, P. Niyogi, Sayan Mukherjee, 2002 .

The Audiomomma Music Recommendation System

Mariano Alvira, Ryan Rifkin, Jim Paris, 2001 .