Rif's Publications
Bioinformatics
- Rifkin, Mukherjee, Tamayo, Ramaswamy, Yeang, Angelo, Reich,
Poggio, Lander, Golub and Mesirov. "An Analytical Method for Multiclass
Molecular Cancer Classification." SIAM Review, Vol. 45, 4,
pp. 706-723, 2003.
- Dror, Murnick, Rinaldi, Marinescu, Rifkin and Young. "Bayesian Estimation of Transcript
Levels Using a General Model of Array Measurement Noise." Journal of
Computational Biology, Vol. 10, 3, pp 433-452.
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Mukherjee, Tamayo, Rogers, Rifkin, Engle, Campbell, Golub and Mesirov. "Estimating Dataset Size Requirements for Classifying DNA Microarray Data." Journal of Computational Biology, Vol. 10, 2, pp 119-142, 2003.
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Dror, Murnick, Rinaldi, Marinescu, Rifkin, and Young. "A Bayesian Approach to Transcript Estimation from Gene Array Data: The BEAM Technique." RECOMB 2002.
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Pomeroy, Tamayo, Gaasenbeek, Sturla, Angelo, Mclaughlin, Kim,
Goumnerova, Black, Lau, Allen, Zagzag, Olson, Curran, Wetmore, Biegel,
Poggio, Mukhrejee, Rifkin, Califano, Stolovitzky, Louis, Mesirov,
Lander and Golub. "Prediction of
central nervous system embryonal tumours outcome based on gene
expression." Nature, Vol. 415, 24 January 2002.
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Ramaswamy, Tamayo, Rifkin, Mukherjee, Yeang, Angelo, Ladd, Reich,
Latulippe, Mesirov, Poggio, Gerlad, Loda, Lander and Golub. "Multiclass cancer diagnosis using tumor gene
expression signatures." Proceedings of the National Academy of
Science, vol. 98, no. 26, 18 December 2001.
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Yeang, Ramaswamy, Tamayo, Mukherjee, Rifkin, Angelo, Reich, Lander,
Mesirov and Golub. "Molecular
Classification of Multiple Tumor Types." Intelligent Systems in
Molecular Biology, 2001.
Audio
- Rifkin. "Speaker Recognition Using Local Models", Proceedings of Eurospeech 2003.
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Whitman and Rifkin. "Musical Query-by-Description as a Multi-Class Learning Problem", Proceedings of the IEEE Multimedia Signal Processing Conference (MMSP), December 2002.
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The Audiomomma Music Recommendation System "The Audiomomma Music Recommendation
System." A.I. Memo #2001-012, C.B.C.L. Memo #199, July 2001.
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Moreno and Rifkin. "Using the Fisher
Kernel Method for Web Audio Classification." International Conference on
Acoustics, Speech and Signal Processing 2000.
Texts and Images
- Bileschi, Leung and Rifkin. "Towards Component-based Car
Detection." 2004 ECCV Workshop on Statistical Learning
and Computer Vision.
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Rennie and Rifkin. "Improving
Multiclass Text Classification with the Support Vector Machine."
A.I. Memo #2001-026, C.B.C.L. Memo #210, October 2001.
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Alvira and Rifkin. "An Empirical
Comparison of SNoW and SVMs for Face Detection." A.I. Memo #2001-004,
C.B.C.L. Memo #193, January 2001.
Theory Of Learning
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Poggio, Rifkin, Mukherjee and Niyogi. "General Conditions for
Predictivity in Learning Theory." Nature, Vol. 428, pp. 419-422,
2004.
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Rifkin and Klautau. "In Defense of
One-Vs-All Classification." Journal of Machine Learning Research,
Volume 5, pp. 101-141, 2004.
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Rifkin, Yeo and Poggio. "Regularized Least
Squares Classification." Advances in Learning Theory: Methods,
Model and Applications, NATO Science Series III: Computer and Systems
Sciences, Vol. 190, IOS Press, Amsterdam 2003. Edited by Suykens,
Horvath, Basu, Micchelli, and Vandewalle.
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Rifkin. "Everything Old Is New Again: A Fresh Look at Historical Approaches in Machine Learning." PhD Thesis, MIT, 2002.
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Mukherjee, Rifkin and Poggio. "Regression and
Classification with Regularization." In Nonlinear Estimation and
Classification, Springer Verlag 2003. Edited by Denison, Hansen,
Holmes, Mallick and Yu.
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Poggio, Rifkin, Mukherjee, and Rakhlin. "Bagging Regularizes." A.I. Memo #2002-003, C.B.C.L. Memo #214, March 2002
- Poggio, Mukherjee, Rifkin, Rakhlin, and Verri "b." Proceedings of the Conference on Uncertainty
in Geometric Computations, 2001. (This version is much clearer than
the A. I. Memo version.)
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Poggio, Mukherjee, Rifkin, Rakhlin, and Verri. "b." A.I. Memo #2001-011, C.B.C.L. Memo
#198, July 2001.
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Rifkin, Pontil, and Verri. "A Note on
Support Vector Machine Degeneracy." A.I. Memo #1661, C.B.C.L. Memo
#177, Algorithmic Learning Theory 1999. NOTE: This paper contains
serious errors. The proof of Lemma 2 is bogus, and Lemma 3 and
Theorem 4, which depend on Lemma 2, are false. I continue to make the
paper available because it was already published when the errors were
discovered (many thanks to Chih-Jen Lin), and
because, as a scientist, I want my failures as well as my triumphs in
public view. The second half of the paper is correct as it stands.
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Pontil, Rifkin, and Evgeniou. "From
Regression to Classification in Support Vector Machines."
A.I. Memo #1649, C.B.C.L. Memo #166, European Symposium on
Artificial Neural Networks '99.
Air Traffic Control
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Ball, Hoffman, Odoni, and Rifkin. "A
Stochastic Integer Program with Dual Network Structure and its
Application to the Ground Holding Problem." Submitted to
Operations Research, June 1999. Accepted to Operations Research as a
Technical Note, Fall 2001.
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Rifkin. Masters Thesis: "The Single
Airport Static Stochastic Ground Holding Problem." February 1998.
Published as NEXTOR Report T-98-1, NEXTOR Center of Excellence in Air
Traffic Control.
rif@middleangle.comu