Kristin P. Bennett

2008
29	EE	Charles Bergeron, Jed Zaretzki, Curt M. Breneman, Kristin P. Bennett: Multiple instance ranking. ICML 2008: 48-55
28	EE	Kristin P. Bennett, Gautam Kunapuli, Jing Hu, Jong-Shi Pang: Bilevel Optimization and Machine Learning. WCCI 2008: 25-47
27	EE	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	EE	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	EE	Zhiwei Zhu, Qiang Ji, Kristin P. Bennett: Nonlinear Eye Gaze Mapping Function Estimation via Support Vector Regression. ICPR (1) 2006: 1132-1135
24	EE	Kristin P. Bennett, Jing Hu, Xiaoyun Ji, Gautam Kunapuli, Jong-Shi Pang: Model Selection via Bilevel Optimization. IJCNN 2006: 1922-1929
23	EE	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	EE	Jinbo Bi, Tong Zhang, Kristin P. Bennett: Column-generation boosting methods for mixture of kernels. KDD 2004: 521-526
2003
20	EE	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	EE	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	EE	Jinbo Bi, Kristin P. Bennett: A geometric approach to support vector regression. Neurocomputing 55(1-2): 79-108 (2003)
2002
16	EE	Kristin P. Bennett, Michinari Momma, Mark J. Embrechts: MARK: a boosting algorithm for heterogeneous kernel models. KDD 2002: 24-31
15	EE	Kristin P. Bennett, Ayhan Demiriz, Richard Maclin: Exploiting unlabeled data in ensemble methods. KDD 2002: 289-296
14	EE	Michinari Momma, Kristin P. Bennett: A Pattern Search Method for Model Selection of Support Vector Regression. SDM 2002
13	EE	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	EE	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	EE	Kristin P. Bennett, Usama M. Fayyad, Dan Geiger: Density-Based Indexing for Approximate Nearest-Neighbor Queries. KDD 1999: 233-243
1998
3	EE	Kristin P. Bennett, Ayhan Demiriz: Semi-Supervised Support Vector Machines. NIPS 1998: 368-374
1997
2	EE	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	Roberto J. Bayardo (Roberto J. Bayardo Jr.)	[22] [26]
2	Charles Bergeron	[29]
3	Jinbo Bi	[13] [17] [18] [19] [21]
4	Erin J. Bredensteiner	[2] [10]
5	Curt M. Breneman	[13] [18] [29]
6	Colin Campbell	[6] [8]
7	Steven M. Cramer	[13]
8	Nello Cristianini	[5] [7]
9	Gautam Das	[26]
10	Ayhan Demiriz	[3] [9] [11] [12] [15]
11	Mark J. Embrechts	[16] [18]
12	Usama M. Fayyad	[4]
13	Michael C. Ferris	[1]
14	Dan Geiger	[4]
15	Robert Grossman	[22]
16	Dimitrios Gunopulos	[26]
17	Johannes Gunopulos	[26]
18	Jing Hu	[24] [28]
19	Yannis E. Ioannidis	[1]
20	Qiang Ji	[25]
21	Xiaoyun Ji	[24]
22	Gautam Kunapuli	[24] [28]
23	Richard Maclin	[15]
24	Michinari Momma	[14] [16] [20]
25	Jong-Shi Pang	[24] [28]
26	Emilio Parrado-Hernández	[23]
27	Gunnar Rätsch	[11]
28	John Shawe-Taylor	[5] [7] [9] [12]
29	Daniel L. Silver	[27]
30	Minghu Song	[13] [18]
31	Nagamani Sukumar	[13]
32	Nihal Tugcu	[13]
33	Donghui Wu	[5] [7]
34	Jed Zaretzki	[29]
35	Tong Zhang	[21]
36	Zhiwei Zhu	[25]

Colors in the list of coauthors