| Semi-supervised support vector machines K Bennett, A Demiriz Advances in Neural Information processing systems 11, 1998 | 1349 | 1998 |
| Robust linear programming discrimination of two linearly inseparable sets KP Bennett, OL Mangasarian Optimization methods and software 1 (1), 23-34, 1992 | 1213 | 1992 |
| Support vector machines: hype or hallelujah? KP Bennett, C Campbell ACM SIGKDD explorations newsletter 2 (2), 1-13, 2000 | 1205 | 2000 |
| Constrained k-means clustering PS Bradley, KP Bennett, A Demiriz Microsoft Research, Redmond 20 (0), 0, 2000 | 745 | 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 | 638 | 2003 |
| Linear programming boosting via column generation A Demiriz, KP Bennett, J Shawe-Taylor Machine Learning 46 (1), 225-254, 2002 | 601 | 2002 |
| Duality and geometry in SVM classifiers KP Bennett, EJ Bredensteiner ICML 2000, 57-64, 2000 | 590 | 2000 |
| Multicategory classification by support vector machines EJ Bredensteiner, KP Bennett Computational Optimization and Applications 12 (1), 53-79, 1999 | 550 | 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 | 521 | 2006 |
| Semi-supervised clustering using genetic algorithms A Demiriz, KP Bennett, MJ Embrechts Artificial neural networks in engineering (ANNIE-99) 809, 814, 1999 | 455 | 1999 |
| Regression error characteristic curves J Bi, KP Bennett Proceedings of the 20th international conference on machine learning (ICML …, 2003 | 429 | 2003 |
| 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 | 400 | 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 | 400 | 2006 |
| A support vector machine approach to decision trees KP Bennett, JA Blue 1998 IEEE international joint conference on neural networks proceedings …, 1998 | 375 | 1998 |
| A linear programming approach to novelty detection C Campbell, K Bennett Advances in neural information processing systems 13, 2000 | 304 | 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 | 278 | 2001 |
| Exploiting unlabeled data in ensemble methods KP Bennett, A Demiriz, R Maclin Proceedings of the eighth ACM SIGKDD international conference on Knowledge …, 2002 | 264 | 2002 |
| The interplay of optimization and machine learning research KP Bennett, E Parrado-Hernández The Journal of Machine Learning Research 7, 1265-1281, 2006 | 254 | 2006 |
| 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 | 253 | 2006 |
| Multicategory discrimination via linear programming KP Bennett, OL Mangasarian Optimization methods and Software 3 (1-3), 27-39, 1994 | 253 | 1994 |
Mark EmbrechtsChief Science Officer, CardioMag Imaging, Inc. and Professor of Mechanical Aerospace and NuclearVerified email at rpi.edu
