Kristin P. Bennett

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Mark EmbrechtsChief Science Officer, CardioMag Imaging, Inc. and Professor of Mechanical Aerospace and NuclearVerified email at rpi.edu
Ayhan DemirizGebze Technical UniversityVerified email at gtu.edu.tr
Amina ShabbeerRensselaer Polytechinc InstituteVerified email at rpi.edu
Charles BergeronAssistant ProfessorVerified email at rpi.edu
Olvi MangasarianProfessor Computer Sciences, University of Wisconsin MadisonVerified email at cs.wisc.edu
Bülent YenerProfessor of Computer Science, Director of Data Science Research Center RPIVerified email at cs.rpi.edu
Cagri OzcaglarSenior Machine Learning Engineer, FacebookVerified email at fb.com
N. SukumarShiv Nadar UniversityVerified email at snu.edu.in
Gautam KunapuliVerisk AI R&DVerified email at verisk.com
John Shawe-TaylorUCLVerified email at cs.ucl.ac.uk
Jong-Shi PangDaniel J. Epstein Chair Professor of Industrial and Systems EngineeringVerified email at usc.edu
Richard MaclinProfessor of Computer Science, University of Minnesota DuluthVerified email at d.umn.edu
Qiang JiProfessor of Electrical Eng., RPIVerified email at ecse.rpi.edu
Nalin RastogiDirecteur de Recherche de classe exceptionnelle à l'Institut Pasteur (Retd/En Retraite)Verified email at pasteur-guadeloupe.fr
Gunnar RätschProfessor, ETH ZürichVerified email at inf.ethz.ch
Nello CristianiniUniversity of BristolVerified email at bristol.ac.uk
Emilio Parrado-HernandezUniversidad Carlos III de MadridVerified email at tsc.uc3m.es
Patrik RydbergAssociate Director, Computational Chemmistry, Optibrium Ltd.Verified email at optibrium.com
John MitchellProf of Mathematical Sciences, RPIVerified email at rpi.edu
Jude ShavlikProfessor of Computer Science and of Biostatistics & Medical Informatics, University of WisconsinVerified email at cs.wisc.edu

Kristin P. Bennett

Professor of Mathematical Sciences, Renssealer Polytechnic Institute

Verified email at rpi.edu - Homepage

Machine Learning Data Mining Artificial Intelligence Bioinformatics Public Health


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Semi-supervised support vector machines K Bennett, A Demiriz Advances in Neural Information processing systems 11, 1998	1159	1998
Robust linear programming discrimination of two linearly inseparable sets KP Bennett, OL Mangasarian Optimization methods and software 1 (1), 23-34, 1992	1061	1992
Support vector machines: hype or hallelujah? KP Bennett, C Campbell ACM SIGKDD explorations newsletter 2 (2), 1-13, 2000	1035	2000
Dimensionality reduction via sparse support vector machines J Bi, K Bennett, M Embrechts, C Breneman, M Song Journal of Machine Learning Research 3 (Mar), 1229-1243, 2003	590	2003
Linear programming boosting via column generation A Demiriz, KP Bennett, J Shawe-Taylor Machine Learning 46 (1), 225-254, 2002	548	2002
Duality and geometry in SVM classifiers KP Bennett, EJ Bredensteiner ICML 2000, 57-64, 2000	531	2000
Multicategory classification by support vector machines EJ Bredensteiner, KP Bennett Computational Optimization, 53-79, 1999	499	1999
Incremental support vector learning: Analysis, implementation and applications. P Laskov, C Gehl, S Krüger, KR Müller, KP Bennett, ... Journal of machine learning research 7 (9), 2006	447	2006
Semi-supervised clustering using genetic algorithms A Demiriz, KP Bennett, MJ Embrechts Artificial neural networks in engineering (ANNIE-99), 809-814, 1999	428	1999
Building support vector machines with reduced classifier complexity. SS Keerthi, O Chapelle, D DeCoste, KP Bennett, E Parrado-Hernández Journal of Machine Learning Research 7 (7), 2006	371	2006
Ensemble Pruning Via Semi-definite Programming. Y Zhang, S Burer, W Nick Street, KP Bennett, E Parrado-Hernández Journal of machine learning research 7 (7), 2006	349	2006
Constrained k-means clustering PS Bradley, KP Bennett, A Demiriz Microsoft Research, Redmond 20 (0), 0, 2000	348	2000
A support vector machine approach to decision trees KP Bennett, JA Blue 1998 IEEE International Joint Conference on Neural Networks Proceedings …, 1998	320	1998
Regression error characteristic curves J Bi, KP Bennett Proceedings of the 20th international conference on machine learning (ICML …, 2003	302	2003
A linear programming approach to novelty detection C Campbell, K Bennett Advances in neural information processing systems 13, 2000	291	2000
Density-based indexing method for efficient execution of high dimensional nearest-neighbor queries on large databases U Fayyad, KP Bennett, D Geiger US Patent 6,263,334, 2001	244	2001
Exploiting unlabeled data in ensemble methods KP Bennett, A Demiriz, R Maclin Proceedings of the eighth ACM SIGKDD international conference on Knowledge …, 2002	237	2002
Multicategory discrimination via linear programming KP Bennett, OL Mangasarian Optimization methods and Software 3 (1-3), 27-39, 1994	232	1994
Linear Programming Relaxations and Belief Propagation--An Empirical Study. C Yanover, T Meltzer, Y Weiss, KP Bennett, E Parrado-Hernández Journal of Machine Learning Research 7 (9), 2006	230	2006
A pattern search method for model selection of support vector regression M Momma, KP Bennett Proceedings of the 2002 SIAM International Conference on Data Mining, 261-274, 2002	208	2002

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