| Margin based feature selection-theory and algorithms R Gilad-Bachrach, A Navot, N Tishby Proceedings of the twenty-first international conference on Machine learning, 43, 2004 | 532 | 2004 |
| Margin analysis of the LVQ algorithm K Crammer, R Gilad-Bachrach, A Navot, N Tishby Advances in neural information processing systems 15, 2002 | 297 | 2002 |
| Nearest neighbor based feature selection for regression and its application to neural activity A Navot, L Shpigelman, N Tishby, E Vaadia Advances in neural information processing systems 18, 2005 | 131 | 2005 |
| Query by committee made real R Gilad-Bachrach, A Navot, N Tishby Advances in neural information processing systems 18, 2005 | 119 | 2005 |
| An information theoretic tradeoff between complexity and accuracy R Gilad-Bachrach, A Navot, N Tishby Learning Theory and Kernel Machines, 595-609, 2003 | 99 | 2003 |
| Learning to Select Features using their Properties. E Krupka, A Navot, N Tishby Journal of Machine Learning Research 9 (10), 2008 | 36 | 2008 |
| Is feature selection still necessary? A Navot, R Gilad-Bachrach, Y Navot, N Tishby International Statistical and Optimization Perspectives Workshop" Subspace …, 2005 | 29 | 2005 |
| On the role of feature selection in machine learning A Navot Hebrew University, 2006 | 25 | 2006 |
| Large margin principles for feature selection R Gilad-Bachrach, A Navot, N Tishby Feature Extraction, 585-606, 2006 | 12 | 2006 |
| Bayes and tukey meet at the center point R Gilad-Bachrach, A Navot, N Tishby International Conference on Computational Learning Theory, 549-563, 2004 | 10 | 2004 |
| Kernel query by committee (KQBC) R Gilad-Bachrach, A Navot, N Tishby Leibniz Center, Hebrew Univ., Jerusalem, Israel, Tech. Rep 88, 2004, 2003 | 9 | 2003 |
| Sea Spotter: A fully staring Naval IRST System NS Michael Engel, Amir Navot, Izhak Saban, Yaakov Engel, Eyal Arad Proc SPIE, 2013 | | 2013 |
| Margin Based Feature Selection and Infogain with Standard Classifiers R Gilad-Bachrach, A Navot Feature Extraction, 395-401, 2006 | | 2006 |
| Bayes and Tukey Meet at the Center Point Ran Gilad-Bachrach A Navot | | |
