![]() | ![]() |
| 2012 | ||
|---|---|---|
| 41 | Charles Bergeron, Gregory M. Moore, Jed Zaretzki, Curt M. Breneman, Kristin P. Bennett: Fast Bundle Algorithm for Multiple-Instance Learning. IEEE Trans. Pattern Anal. Mach. Intell. 34(6): 1068-1079 (2012) | |
| 2011 | ||
| 40 | Cagri Ozcaglar, Amina Shabbeer, Natalia Kurepina, Bülent Yener, Kristin P. Bennett: Data-Driven Insights into Deletions of Mycobacterium tuberculosis Complex Chromosomal DR Region Using Spoligoforests. BIBM 2011: 75-82 | |
| 39 | Kristin P. Bennett, Cagri Ozcaglar, Janani Ranganathan, Srivatsan Raghavan, Jacob Katz, Dan Croft, Bülent Yener, Amina Shabbeer: Visualization of tuberculosis patient and Mycobacterium tuberculosis complex genotype data via host-pathogen maps. BIBM Workshops 2011: 124-129 | |
| 38 | Charles Bergeron, Theresa Hepburn, C. Matthew Sundling, Michael P. Krein, William P. Katt, Nagamani Sukumar, Curt M. Breneman, Kristin P. Bennett: Prediction of peptide bonding affinity: kernel methods for nonlinear modeling CoRR abs/1108.5397: (2011) | |
| 37 | Gregory M. Moore, Charles Bergeron, Kristin P. Bennett: Model selection for primal SVM. Machine Learning 85(1-2): 175-208 (2011) | |
| 2010 | ||
| 36 | Cagri Ozcaglar, Amina Shabbeer, Scott Vandenberg, Bülent Yener, Kristin P. Bennett: Examining the sublineage structure of Mycobacterium tuberculosis complex strains with multiple-biomarker tensors. BIBM 2010: 543-548 | |
| 35 | Gautam Kunapuli, Kristin P. Bennett, Amina Shabbeer, Richard Maclin, Jude W. Shavlik: Online Knowledge-Based Support Vector Machines. ECML/PKDD (2) 2010: 145-161 | |
| 34 | Minoo Aminian, Amina Shabbeer, Kristin P. Bennett: A conformal Bayesian network for classification of Mycobacterium tuberculosis complex lineages. BMC Bioinformatics 11(S-3): 4 (2010) | |
| 2009 | ||
| 33 | Minoo Aminian, Amina Shabbeer, Kristin P. Bennett: Determination of Major Lineages of Mycobacterium tuberculosis Complex Using Mycobacterial Interspersed Repetitive Units. BIBM 2009: 338-343 | |
| 32 | Gregory M. Moore, Charles Bergeron, Kristin P. Bennett: Nonsmooth Bilevel Programming for Hyperparameter Selection. ICDM Workshops 2009: 374-381 | |
| 2008 | ||
| 31 | Charles Bergeron, Jed Zaretzki, Curt M. Breneman, Kristin P. Bennett: Multiple instance ranking. ICML 2008: 48-55 | |
| 30 | Kristin P. Bennett, Gautam Kunapuli, Jing Hu, Jong-Shi Pang: Bilevel Optimization and Machine Learning. WCCI 2008: 25-47 | |
| 29 | Daniel L. Silver, Kristin P. Bennett: Guest editor's introduction: special issue on inductive transfer learning. Machine Learning 73(3): 215-220 (2008) | |
| 28 | Jing Hu, John E. Mitchell, Jong-Shi Pang, Kristin P. Bennett, Gautam Kunapuli: On the Global Solution of Linear Programs with Linear Complementarity Constraints. SIAM Journal on Optimization 19(1): 445-471 (2008) | |
| 2007 | ||
| 27 | Roberto J. Bayardo, Kristin P. Bennett, Gautam Das, Dimitrios Gunopulos, Johannes Gunopulos: Introduction to special issue ACM SIGKDD 2006. TKDD 1(3): (2007) | |
| 2006 | ||
| 26 | Zhiwei Zhu, Qiang Ji, Kristin P. Bennett: Nonlinear Eye Gaze Mapping Function Estimation via Support Vector Regression. ICPR (1) 2006: 1132-1135 | |
| 25 | Kristin P. Bennett, Jing Hu, Xiaoyun Ji, Gautam Kunapuli, Jong-Shi Pang: Model Selection via Bilevel Optimization. IJCNN 2006: 1922-1929 | |
| 24 | Kristin P. Bennett, Emilio Parrado-Hernández: The Interplay of Optimization and Machine Learning Research. Journal of Machine Learning Research 7: 1265-1281 (2006) | |
| 2005 | ||
| 23 | Robert Grossman, Roberto J. Bayardo, Kristin P. Bennett: Proceedings of the Eleventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Chicago, Illinois, USA, August 21-24, 2005 ACM 2005 | |
| 2004 | ||
| 22 | Miki Fukunari, Kristin P. Bennett, Charles J. Malmborg: Decision-tree learning in dwell point policies in autonomous vehicle storage and retrieval systems (AVSRS). ICMLA 2004: 81-84 | |
| 21 | Jinbo Bi, Tong Zhang, Kristin P. Bennett: Column-generation boosting methods for mixture of kernels. KDD 2004: 521-526 | |
| 2003 | ||
| 20 | Michinari Momma, Kristin P. Bennett: Sparse Kernel Partial Least Squares Regression. COLT 2003: 216-230 | |
| 19 | Jinbo Bi, Kristin P. Bennett: Regression Error Characteristic Curves. ICML 2003: 43-50 | |
| 18 | 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) | |
| 17 | Jinbo Bi, Kristin P. Bennett: A geometric approach to support vector regression. Neurocomputing 55(1-2): 79-108 (2003) | |
| 2002 | ||
| 16 | Kristin P. Bennett, Michinari Momma, Mark J. Embrechts: MARK: a boosting algorithm for heterogeneous kernel models. KDD 2002: 24-31 | |
| 15 | Kristin P. Bennett, Ayhan Demiriz, Richard Maclin: Exploiting unlabeled data in ensemble methods. KDD 2002: 289-296 | |
| 14 | Michinari Momma, Kristin P. Bennett: A Pattern Search Method for Model Selection of Support Vector Regression. SDM 2002 | |
| 13 | Minghu Song, Curt M. Breneman, Jinbo Bi, Nagamani Sukumar, Kristin P. Bennett, Steven M. 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) | |
| 12 | Ayhan Demiriz, Kristin P. Bennett, John Shawe-Taylor: Linear Programming Boosting via Column Generation. Machine Learning 46(1-3): 225-254 (2002) | |
| 11 | Gunnar Rätsch, Ayhan Demiriz, Kristin P. Bennett: Sparse Regression Ensembles in Infinite and Finite Hypothesis Spaces. Machine Learning 48(1-3): 189-218 (2002) | |
| 2000 | ||
| 10 | Kristin P. Bennett, Erin J. Bredensteiner: Duality and Geometry in SVM Classifiers. ICML 2000: 57-64 | |
| 9 | Kristin P. Bennett, Ayhan Demiriz, John Shawe-Taylor: A Column Generation Algorithm For Boosting. ICML 2000: 65-72 | |
| 8 | Colin Campbell, Kristin P. Bennett: A Linear Programming Approach to Novelty Detection. NIPS 2000: 395-401 | |
| 7 | Kristin P. Bennett, Nello Cristianini, John Shawe-Taylor, Donghui Wu: Enlarging the Margins in Perceptron Decision Trees. Machine Learning 41(3): 295-313 (2000) | |
| 6 | Kristin P. Bennett, Colin Campbell: Support Vector Machines: Hype or Hallelujah? SIGKDD Explorations 2(2): 1-13 (2000) | |
| 1999 | ||
| 5 | Donghui Wu, Kristin P. Bennett, Nello Cristianini, John Shawe-Taylor: Large Margin Trees for Induction and Transduction. ICML 1999: 474-483 | |
| 4 | Kristin P. Bennett, Usama M. Fayyad, Dan Geiger: Density-Based Indexing for Approximate Nearest-Neighbor Queries. KDD 1999: 233-243 | |
| 1998 | ||
| 3 | Kristin P. Bennett, Ayhan Demiriz: Semi-Supervised Support Vector Machines. NIPS 1998: 368-374 | |
| 1997 | ||
| 2 | Kristin P. Bennett, Erin J. Bredensteiner: A Parametric Optimization Method for Machine Learning. INFORMS Journal on Computing 9(3): 311-318 (1997) | |
| 1991 | ||
| 1 | Kristin P. Bennett, Michael C. Ferris, Yannis E. Ioannidis: A Genetic Algorithm for Database Query Optimization. ICGA 1991: 400-407 | |
Colors in the list of coauthors
Last update Sun May 27 04:04:01 2012 CET by the DBLP Team —
Data released under the ODC-BY 1.0 license — See also our legal information page