Current Research Interests
Machine learning
- Large margin generative probabilistic models
- Transductive and semi-supervised learning
- Nearest Neighbor classifiers
- Approximate Bayes optimal linear classifiers
- Bayes point machines
Computational Biology
- Protein-protein interaction prediction
- Protein function prediction
- Micro-array gene expression analysis
Current Results
Previous Research
Papers
- Darrin P. Lewis, Tony Jebara, and William Stafford Noble.
"Support vector machine learning from heterogeneous data:
an empirical analysis using protein sequence and structure."
Bioinformatics (accepted).
- Darrin P. Lewis, Tony Jebara, and William Stafford Noble.
"Nonstationary Kernel Combination."
Proceedings of the International Conference on Machine Learning, June 25-29, 2006, Pittsburgh, PA.
- Darrin P. Lewis and William Stafford Noble. "Large Margin Prediction of
Protein-Protein Interactions." NIPS 2003 Workshop on New Methods in
Bioinformatics.
- Darrin P. Lewis and William Stafford
Noble. "Regularized nearest neighbor." NIPS 2003 Workshop on
Approximate Nearest Neighbor Techniques (Poster presentation).
- Qin, Jie, Darrin P. Lewis and William Stafford
Noble. "Kernel hiearchical gene clustering from microarray
expression data." Bioinformatics. 19(16):2097-2104, 2003.
- Pavlidis, Paul, Darrin P. Lewis and William Stafford Noble. "Exploring gene expression data with class scores." Proceedings of the Pacific Symposium on Biocomputing, January 2-7, 2002.
- C. Anastassiou, K. Steiglitz, D. Lewis, M. Segev,
J. Giordmaine. "Bouncing of Vector Solitons." Conference on
Lasers and Electro-Optics (CLEO) 2000, San Fransisco, May 7-12,
2000.
- D. Lewis, K. Steiglitz, M. Jakubowski, R. Squier.
"State Change Operations for Manakov Soliton Collisions are Associative
(But Not Commutative)." Physical Review E. (submitted)
- C. Sastry, D. Lewis, A. Pizano. "WebTour: A System to Record
and Playback Dynamic Multimedia Annotations on Web Document
Content." Proceedings of ACM Multimedia 99,
Orlando, FL. 175-178.
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dplewis@cs.columbia.edu