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Koby Crammer
Koby Crammer
Professor of Electrical Engineering, Technion - Israel Institute of Technology
Подтвержден адрес электронной почты в домене ee.technion.ac.il
Название
Процитировано
Процитировано
Год
A theory of learning from different domains
S Ben-David, J Blitzer, K Crammer, A Kulesza, F Pereira, JW Vaughan
Machine learning 79 (1-2), 151-175, 2010
33482010
On the algorithmic implementation of multiclass kernel-based vector machines
K Crammer, Y Singer
Journal of machine learning research 2 (Dec), 265-292, 2001
29612001
Online passive-aggressive algorithms
K Crammer, O Dekel, J Keshet, S Shalev-Shwartz, Y Singer
Journal of Machine Learning Research 7 (Mar), 551-585, 2006
24982006
Analysis of representations for domain adaptation
S Ben-David, J Blitzer, K Crammer, F Pereira
Advances in neural information processing systems, 137-144, 2007
22852007
Online large-margin training of dependency parsers
R McDonald, K Crammer, F Pereira
Proceedings of the 43rd annual meeting on association for computational …, 2005
10182005
On the learnability and design of output codes for multiclass problems
K Crammer, Y Singer
Machine learning 47 (2-3), 201-233, 2002
9932002
Pranking with ranking
K Crammer, Y Singer
Advances in neural information processing systems, 641-647, 2002
8762002
Ultraconservative online algorithms for multiclass problems
K Crammer, Y Singer
Journal of Machine Learning Research 3 (Jan), 951-991, 2003
7582003
Confidence-weighted linear classification
M Dredze, K Crammer, F Pereira
Proceedings of the 25th international conference on Machine learning, 264-271, 2008
5602008
Learning bounds for domain adaptation
J Blitzer, K Crammer, A Kulesza, F Pereira, J Wortman
Advances in neural information processing systems, 129-136, 2008
5472008
Adaptive regularization of weight vectors
K Crammer, A Kulesza, M Dredze
Advances in neural information processing systems, 414-422, 2009
3862009
Margin analysis of the LVQ algorithm
K Crammer, R Gilad-Bachrach, A Navot, N Tishby
Advances in neural information processing systems, 479-486, 2003
3192003
Learning from multiple sources
K Crammer, M Kearns, J Wortman
Journal of Machine Learning Research 9 (Aug), 1757-1774, 2008
3092008
New regularized algorithms for transductive learning
PP Talukdar, K Crammer
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2009
2942009
A family of additive online algorithms for category ranking
K Crammer, Y Singer
Journal of Machine Learning Research 3 (Feb), 1025-1058, 2003
2572003
Breaking the curse of kernelization: Budgeted stochastic gradient descent for large-scale svm training
Z Wang, K Crammer, S Vucetic
Journal of Machine Learning Research 13 (Oct), 3103-3131, 2012
2432012
Robust support vector machine training via convex outlier ablation
L Xu, K Crammer, D Schuurmans
AAAI 6, 536-542, 2006
2112006
Online classification on a budget
K Crammer, J Kandola, Y Singer
Advances in neural information processing systems, 225-232, 2004
2072004
Exact convex confidence-weighted learning
K Crammer, M Dredze, F Pereira
Advances in Neural Information Processing Systems 21, 2008
1892008
Kernel design using boosting
K Crammer, J Keshet, Y Singer
Advances in neural information processing systems, 553-560, 2003
1792003
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Статьи 1–20