Kristin P. Bennett

	2009
31		Minoo Aminian, Amina Shabbeer, Kristin P. Bennett: Determination of Major Lineages of Mycobacterium tuberculosis Complex Using Mycobacterial Interspersed Repetitive Units. BIBM 2009: 338-343
30		Gregory M. Moore, Charles Bergeron, Kristin P. Bennett: Nonsmooth Bilevel Programming for Hyperparameter Selection. ICDM Workshops 2009: 374-381
	2008
29		Charles Bergeron, Jed Zaretzki, Curt M. Breneman, Kristin P. Bennett: Multiple instance ranking. ICML 2008: 48-55
28		Kristin P. Bennett, Gautam Kunapuli, Jing Hu, Jong-Shi Pang: Bilevel Optimization and Machine Learning. WCCI 2008: 25-47
27		Daniel L. Silver, Kristin P. Bennett: Guest editor's introduction: special issue on inductive transfer learning. Machine Learning 73(3): 215-220 (2008)
	2007
26		Roberto J. Bayardo, Kristin P. Bennett, Gautam Das, Dimitrios Gunopulos, Johannes Gunopulos: Introduction to special issue ACM SIGKDD 2006. TKDD 1(3): (2007)
	2006
25		Zhiwei Zhu, Qiang Ji, Kristin P. Bennett: Nonlinear Eye Gaze Mapping Function Estimation via Support Vector Regression. ICPR (1) 2006: 1132-1135
24		Kristin P. Bennett, Jing Hu, Xiaoyun Ji, Gautam Kunapuli, Jong-Shi Pang: Model Selection via Bilevel Optimization. IJCNN 2006: 1922-1929
23		Kristin P. Bennett, Emilio Parrado-Hernández: The Interplay of Optimization and Machine Learning Research. Journal of Machine Learning Research 7: 1265-1281 (2006)
	2005
22		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
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

Coauthor Index

1	Minoo Aminian	[31]
2	Roberto J. Bayardo (Roberto J. Bayardo Jr.)	[22] [26]
3	Charles Bergeron	[29] [30]
4	Jinbo Bi	[13] [17] [18] [19] [21]
5	Erin J. Bredensteiner	[2] [10]
6	Curt M. Breneman	[13] [18] [29]
7	Colin Campbell	[6] [8]
8	Steven M. Cramer	[13]
9	Nello Cristianini	[5] [7]
10	Gautam Das	[26]
11	Ayhan Demiriz	[3] [9] [11] [12] [15]
12	Mark J. Embrechts	[16] [18]
13	Usama M. Fayyad	[4]
14	Michael C. Ferris	[1]
15	Dan Geiger	[4]
16	Robert Grossman	[22]
17	Dimitrios Gunopulos	[26]
18	Johannes Gunopulos	[26]
19	Jing Hu	[24] [28]
20	Yannis E. Ioannidis	[1]
21	Qiang Ji	[25]
22	Xiaoyun Ji	[24]
23	Gautam Kunapuli	[24] [28]
24	Richard Maclin	[15]
25	Michinari Momma	[14] [16] [20]
26	Gregory M. Moore	[30]
27	Jong-Shi Pang	[24] [28]
28	Emilio Parrado-Hernández	[23]
29	Gunnar Rätsch	[11]
30	Amina Shabbeer	[31]
31	John Shawe-Taylor	[5] [7] [9] [12]
32	Daniel L. Silver	[27]
33	Minghu Song	[13] [18]
34	Nagamani Sukumar	[13]
35	Nihal Tugcu	[13]
36	Donghui Wu	[5] [7]
37	Jed Zaretzki	[29]
38	Tong Zhang	[21]
39	Zhiwei Zhu	[25]

Colors in the list of coauthors