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 DemirizVerikar SoftwareVerified email at verikar.com
Amina ShabbeerRensselaer Polytechinc InstituteVerified email at rpi.edu
Charles BergeronAssistant ProfessorVerified email at rpi.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
Olvi MangasarianProfessor Computer Sciences, University of Wisconsin MadisonVerified email at cs.wisc.edu
N. SukumarAmrita Vishwa VidyapeethamVerified email at cb.amrita.edu
Gautam KunapuliMotiveVerified email at gomotive.com
Jong-Shi PangDaniel J. Epstein Chair Professor of Industrial and Systems EngineeringVerified email at usc.edu
John Shawe-TaylorUCLVerified email at cs.ucl.ac.uk
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
Emilio Parrado-HernandezUniversidad Carlos III de MadridVerified email at ing.uc3m.es
Michael FerrisComputer Sciences Dept. and WI. Inst. for Discovery, University of Wisconsin-MadisonVerified email at cs.wisc.edu
Gunnar RätschProfessor, ETH ZürichVerified email at inf.ethz.ch
Nello CristianiniUniversity of BathVerified email at bath.ac.uk
Patrik RydbergAssociate Director, Computational Chemmistry, Optibrium Ltd.Verified email at optibrium.com
John MitchellProf of Mathematical Sciences, RPIVerified email at rpi.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	1302	1998
Support vector machines: hype or hallelujah? KP Bennett, C Campbell ACM SIGKDD explorations newsletter 2 (2), 1-13, 2000	1173	2000
Robust linear programming discrimination of two linearly inseparable sets KP Bennett, OL Mangasarian Optimization methods and software 1 (1), 23-34, 1992	1167	1992
Constrained k-means clustering PS Bradley, KP Bennett, A Demiriz Microsoft Research, Redmond 20 (0), 0, 2000	630	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	626	2003
Linear programming boosting via column generation A Demiriz, KP Bennett, J Shawe-Taylor Machine Learning 46, 225-254, 2002	588	2002
Duality and geometry in SVM classifiers KP Bennett, EJ Bredensteiner ICML 2000, 57-64, 2000	565	2000
Multicategory classification by support vector machines EJ Bredensteiner, KP Bennett Computational Optimization: A Tribute to Olvi Mangasarian Volume I, 53-79, 1999	542	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	498	2006
Semi-supervised clustering using genetic algorithms A Demiriz, KP Bennett, MJ Embrechts Artificial neural networks in engineering (ANNIE-99), 809-814, 1999	453	1999
Regression error characteristic curves J Bi, KP Bennett Proceedings of the 20th international conference on machine learning (ICML …, 2003	397	2003
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	382	2006
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	378	2006
A support vector machine approach to decision trees KP Bennett, JA Blue 1998 IEEE international joint conference on neural networks proceedings …, 1998	354	1998
A linear programming approach to novelty detection C Campbell, K Bennett Advances in neural information processing systems 13, 2000	300	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	269	2001
Exploiting unlabeled data in ensemble methods KP Bennett, A Demiriz, R Maclin Proceedings of the eighth ACM SIGKDD international conference on Knowledge …, 2002	261	2002
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	252	2006
Multicategory discrimination via linear programming KP Bennett, OL Mangasarian Optimization methods and Software 3 (1-3), 27-39, 1994	237	1994
The interplay of optimization and machine learning research KP Bennett, E Parrado-Hernández The Journal of Machine Learning Research 7, 1265-1281, 2006	231	2006

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