Amir Navot
Amir Navot
Principal Research Scientist at Amazon Prime Air
Verified email at amazon.com
Title
Cited by
Cited by
Year
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
4692004
Margin analysis of the LVQ algorithm
K Crammer, R Gilad-Bachrach, A Navot, N Tishby
Advances in neural information processing systems, 479-486, 2003
2662003
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, 996-1002, 2006
982006
Query by committee made real
R Gilad-Bachrach, A Navot, N Tishby
Advances in neural information processing systems, 443-450, 2006
852006
An information theoretic tradeoff between complexity and accuracy
R Gilad-Bachrach, A Navot, N Tishby
Learning Theory and Kernel Machines, 595-609, 2003
562003
Learning to select features using their properties
E Krupka, A Navot, N Tishby
Journal of Machine Learning Research 9 (Oct), 2349-2376, 2008
362008
On the role of feature selection in machine learning
A Navot
Hebrew University, 2006
222006
Is feature selection still necessary?
A Navot, R Gilad-Bachrach, Y Navot, N Tishby
International Statistical and Optimization Perspectives Workshop" Subspace…, 2005
222005
Large margin principles for feature selection
R Gilad-Bachrach, A Navot, N Tishby
Feature Extraction, 585-606, 2006
122006
Kernel query by committee (KQBC)
R Gilad-Bachrach, A Navot, N Tishby
Leibniz Center, Hebrew Univ., Jerusalem, Israel, Tech. Rep 88, 2004, 2003
92003
Bayes and Tukey meet at the center point
R Gilad-Bachrach, A Navot, N Tishby
International Conference on Computational Learning Theory, 549-563, 2004
72004
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
fgBsrtqaBEPuHw v HuxyVV T sw) dfehgi E ajkeal ae m lVn3 owl p jkl eaeygfjql p rslsdfehg n jktX ajk kjklVm@ gXuv) ealsdfehgw R gi x $ eh gm) dm@ dfjk l y ziea {gfeh|} il jk…
AF BTYacbaBTY
The system can't perform the operation now. Try again later.
Articles 1–14