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Ohio State University logo Yoonkyung Lee Publications
BibTeX entries for the following papers are available here.

Technical Reports

  1. Another Look at Linear Programming for Feature Selection via Methods of Regularization - Yao, Y., and Lee, Y., July 2007, Technical Report No. 800, Department of Statistics, The Ohio State University. Revised November 2007.
  2. Regularization of Case-Specific Parameters for Robustness and Efficiency - Lee, Y., MacEachern, S. N., and Jung, Y., July 2007, Technical Report No. 799, Department of Statistics, The Ohio State University.

Journal Articles

  1. A Bahadur Representation of the Linear Support Vector Machine - Koo, J.-Y., Lee, Y., Kim, Y., and Park, C., December 2006, Technical Report No. 792, Department of Statistics, The Ohio State University. Revised February 2008. Journal of Machine Learning Research, vol. 9, 1343-1368, 2008.
  2. A Comparison of Normalization Techniques for MicroRNA Microarray Data - Rao, Y., Lee, Y., Jarjoura, D., Ruppert, A. S., Liu, C., Hsu, J. C., and Hagan, J. P., February 2007. Revised February 2008. Statistical Applications in Genetics and Molecular Biology, Vol. 7 : Issue 1, Article 22, 2008.
  3. Characterizing the Solution Path of Multicategory Support Vector Machines (ps) - Lee, Y. and Cui, Z., April 2005, Technical Report No. 754, Department of Statistics, The Ohio State University. TR 754rr, revised December 2005. Statistica Sinica, vol. 16, No. 2, 391-409, 2006.
  4. Structured Multicategory Support Vector Machine with ANOVA decomposition - Lee, Y., Kim, Y., Lee, S., and Koo, J.-Y., October 2004, Technical Report No. 743, Department of Statistics, The Ohio State University. TR 743rr, revised November 2005. It has appeared in Biometrika, vol. 93, No. 3, 555-571, 2006.
    SMSVM implementation in R.
  5. Classification of Satellite Radiance Data by Multicategory Support Vector Machines (ps) - Lee, Y., Wahba, G., and Ackerman, S., February 2003, Technical Report 1075. Department of Statistics, University of Wisconsin-Madison. Revised version has appeared in Journal of Atmospheric and Oceanic Technology (JTECH), vol. 21 (2), 159-169, 2004.
  6. Multicategory Support Vector Machines, Theory, and Application to the Classification of Microarray Data and Satellite Radiance Data (ps) (pdf) - Lee, Y., Lin, Y., and Wahba, G., September 2002, Technical Report 1064. Department of Statistics, University of Wisconsin-Madison. TR 1064r, Revised May 2003. TR 714, Revised August 2003, Technical Report 714, Department of Statistics, The Ohio State University.
    Journal of the American Statistical Association as the lead paper in the Theory and Methods section, vol. 99, 67-81, 2004.
  7. Classification of Multiple Cancer Types by Multicategory Support Vector Machines Using Gene Expression Data - Lee, Y. and Lee, C.-K., Bioinformatics, vol. 19 (9), 1132-1139, 2003. [Supplementary Information]
    Part of the work presented at ENAR meeting held in Crystal City VA, March 2002.
  8. Statistical Properties and Adaptive Tuning of Support Vector Machines - Lin, Y., Wahba, G., Zhang, H., and Lee, Y., 2000. Technical Report 1022. Machine Learning, 48, 115-136, 2002.
  9. Support Vector Machines for classification in nonstandard situations - Lin, Y., Lee, Y., and Wahba, G., 2000. Technical Report 1016. Machine Learning, 46, 191-202, 2002.

Special Volumes

  1. Optimal Properties and Adaptive Tuning of Standard and Nonstandard Support Vector Machines- Wahba, G., Lin, Y., Lee, Y., and Zhang, H., October 2001. Technical Report 1045. In Nonlinear Estimation and Classification, Denison, D. D., Hansen, M. H., Holmes, C. C., Mallick, B., and Yu, B., eds, Springer, New York, 125-143, 2002.

Proceedings

  1. Multicategory Support Vector Machines - Lee, Y., Lin, Y. and Wahba, G., Technical Report 1043, September, 2001. Computing Science and Statistics 33, 498-512, 2001. Presented in Interface '01, Costa Mesa CA June 2001.

Others

  1. Book Review : Semiparametric Regression by David Ruppert, M. P. Wand, and R. J. Carroll.
    - Lee, Y., Journal of the American Statistical Association, vol. 101, 1722-1723, 2006.
  2. Multicategory Support Vector Machines, Theory, and Application to the Classification of Microarray Data and Satellite Radiance Data (ps) (pdf) - Lee, Y., August 2002, Ph.D. thesis, Department of Statistics, University of Wisconsin-Madison. Technical Report 1063.
  3. On optimal primer design for identifying novel molecular sequences in biodiversity studies - Newton, M., Lee, Y., Chelius, M., and Triplett, E., 1999. Abstract in Statistical Society of Canada 1999.

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