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Note: Links lead to the DBLP on the Web. Jinbo Bi Jinbo Bi, Yixin Chen , James Ze Wang : A Sparse Support Vector Machine Approach to Region-Based Image Categorization. CVPR (1) 2005 : 1121-1128 Jinbo Bi, Glenn Fung , Murat Dundar , Bharat Rao : Semi-Supervised Mixture of Kernels via LPBoost Methods. ICDM 2005 : 569-572 Mehmet Dundar , Glenn Fung , Jinbo Bi, Sathyakama Sandilya , R. Bharat Rao : Sparse Fisher Discriminant Analysis for Computer Aided Detection. SDM 2005 Glenn Fung , Murat Dundar , Jinbo Bi, Bharat Rao : A fast iterative algorithm for fisher discriminant using heterogeneous kernels. ICML 2004 Jinbo Bi, Tong Zhang , Kristin P. Bennett : Column-generation boosting methods for mixture of kernels. KDD 2004 : 521-526 Jinbo Bi, Tong Zhang : Support Vector Classification with Input Data Uncertainty. NIPS 2004 Jinbo Bi, Vladimir Vapnik : Learning with Rigorous Support Vector Machines. COLT 2003 : 243-257 Jinbo Bi: Multi-Objective Programming in SVMs. ICML 2003 : 35-42 Jinbo Bi, Kristin P. Bennett : Regression Error Characteristic Curves. ICML 2003 : 43-50 Jinbo Bi, Kristin P. Bennett , Mark J. Embrechts , Curt M. Breneman , Minghu Song : Dimensionality Reduction via Sparse Support Vector Machines. Journal of Machine Learning Research 3 : 1229-1243 (2003) Jinbo Bi, Kristin P. Bennett : A geometric approach to support vector regression. Neurocomputing 55 (1-2): 79-108 (2003) Minghu Song , Curt M. Breneman , Jinbo Bi, Nagamani Sukumar , Kristin P. Bennett , Steven Cramer , Nihal Tugcu : Prediction of Protein Retention Times in Anion-Exchange Chromatography Systems Using Support Vector Regression. Journal of Chemical Information and Computer Sciences 42 (6): 1347-1357 (2002) 1 [ 1 ] [ 2 ] [ 3 ] [ 4 ] [ 8 ] 2 [ 1 ] [ 3 ] 3 [ 12 ] 4 [ 1 ] 5 [ 10 ] 6 [ 9 ] [ 11 ] 7 [ 3 ] 8 [ 9 ] [ 10 ] [ 11 ] 9 [ 9 ] [ 11 ] 10 [ 10 ] 11 [ 10 ] 12 [ 1 ] [ 3 ] 13 [ 1 ] 14 [ 1 ] 15 [ 6 ] 16 [ 12 ] 17 [ 7 ] [ 8 ]  ©2006 Association for Computing Machinery |
