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.

• 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.

• Dror, Murnick, Rinaldi, Marinescu, Rifkin, and Young. "A Bayesian Approach to Transcript Estimation from Gene Array Data: The BEAM Technique." RECOMB 2002.

• 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.

• 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.

• 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.

• Whitman and Rifkin. "Musical Query-by-Description as a Multi-Class Learning Problem", Proceedings of the IEEE Multimedia Signal Processing Conference (MMSP), December 2002.

• The Audiomomma Music Recommendation System "The Audiomomma Music Recommendation System." A.I. Memo #2001-012, C.B.C.L. Memo #199, July 2001.

• 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.

• 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.

• 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

• Poggio, Rifkin, Mukherjee and Niyogi. "General Conditions for Predictivity in Learning Theory." Nature, Vol. 428, pp. 419-422, 2004.

• Rifkin and Klautau. "In Defense of One-Vs-All Classification." Journal of Machine Learning Research, Volume 5, pp. 101-141, 2004.

• 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.

• Rifkin. "Everything Old Is New Again: A Fresh Look at Historical Approaches in Machine Learning." PhD Thesis, MIT, 2002.

• 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.

• 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.)

• Poggio, Mukherjee, Rifkin, Rakhlin, and Verri. "b." A.I. Memo #2001-011, C.B.C.L. Memo #198, July 2001.

• 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.

• 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

• 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.

• 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.