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Yoonkyung Lee, Ph.D. - Publications

Affiliations: 
2002 University of Wisconsin, Madison, Madison, WI 
Area:
Statistics
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16 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2020 Landgraf AJ, Lee Y. Dimensionality Reduction for Binary Data through the Projection of Natural Parameters Journal of Multivariate Analysis. 180: 104668. DOI: 10.1016/J.Jmva.2020.104668  0.346
2017 Uematsu K, Lee Y. On Theoretically Optimal Ranking Functions in Bipartite Ranking Journal of the American Statistical Association. 112: 1311-1322. DOI: 10.1080/01621459.2016.1215988  0.31
2015 Uematsu K, Lee Y. Statistical Optimality in Multipartite Ranking and Ordinal Regression. Ieee Transactions On Pattern Analysis and Machine Intelligence. 37: 1080-94. PMID 26353330 DOI: 10.1109/Tpami.2014.2360397  0.367
2015 Lee Y, Wang R. Does modeling lead to more accurate classification Journal of Multivariate Analysis. 133: 232-250. DOI: 10.1016/J.Jmva.2014.09.010  0.475
2014 Lee Y. Comments on: Support vector machines maximizing geometric margins for multi-class classification Top. 22: 852-855. DOI: 10.1007/S11750-014-0341-0  0.452
2014 Yao Y, Lee Y. Another look at linear programming for feature selection via methods of regularization Statistics and Computing. 24: 885-905. DOI: 10.1007/S11222-013-9408-2  0.377
2013 Liang Z, Lee Y. Eigen‐analysis of nonlinear PCA with polynomial kernels Statistical Analysis and Data Mining. 6: 529-544. DOI: 10.1002/Sam.11211  0.387
2012 Lee Y, MacEachern SN, Jung Y. Regularization of case-specific parameters for robustness and efficiency Statistical Science. 27: 350-372. DOI: 10.1214/11-Sts377  0.372
2010 Lee Y. Support vector machines for classification: a statistical portrait. Methods in Molecular Biology (Clifton, N.J.). 620: 347-68. PMID 20652511 DOI: 10.1007/978-1-60761-580-4_11  0.542
2006 Lee Y, Kim Y, Lee S, Koo J. Structured multicategory support vector machines with analysis of variance decomposition Biometrika. 93: 555-571. DOI: 10.1093/Biomet/93.3.555  0.553
2004 Lee Y, Lin Y, Wahba G. Multicategory Support Vector Machines: Theory and Application to the Classification of Microarray Data and Satellite Radiance Data Journal of the American Statistical Association. 99: 67-81. DOI: 10.1198/016214504000000098  0.661
2004 Lee Y, Lin Y, Wahba G. Multicategory Support Vector Machines Journal of the American Statistical Association. 99: 67-81. DOI: 10.1198/016214504000000098  0.609
2004 Lee Y, Wahba G, Ackerman SA. Cloud classification of satellite radiance data by multicategory support vector machines Journal of Atmospheric and Oceanic Technology. 21: 159-169. DOI: 10.1175/1520-0426(2004)021<0159:Ccosrd>2.0.Co;2  0.633
2003 Lee Y, Lee CK. Classification of multiple cancer types by multicategory support vector machines using gene expression data. Bioinformatics (Oxford, England). 19: 1132-9. PMID 12801874 DOI: 10.1093/Bioinformatics/Btg102  0.419
2002 Lin Y, Wahba G, Zhang H, Lee Y. Statistical properties and adaptive tuning of support vector machines Machine Learning. 48: 115-136. DOI: 10.1023/A:1013951620650  0.641
2002 Lin Y, Lee Y, Wahba G. Support vector machines for classification in nonstandard situations Machine Learning. 46: 191-202. DOI: 10.1023/A:1012406528296  0.646
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