Yoram Singer
Yoram Singer
Professor of Computer Science, Princeton University
Adresse e-mail validée de princeton.edu - Page d'accueil
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Adaptive subgradient methods for online learning and stochastic optimization
J Duchi, E Hazan, Y Singer
Journal of machine learning research 12 (Jul), 2121-2159, 2011
87612011
Improved boosting algorithms using confidence-rated predictions
RE Schapire, Y Singer
Machine learning 37 (3), 297-336, 1999
45101999
Feature-rich part-of-speech tagging with a cyclic dependency network
K Toutanova, D Klein, CD Manning, Y Singer
Proceedings of the 2003 conference of the North American chapter of the …, 2003
39192003
BoosTexter: A boosting-based system for text categorization
RE Schapire, Y Singer
Machine learning 39 (2-3), 135-168, 2000
29282000
On the algorithmic implementation of multiclass kernel-based vector machines
K Crammer, Y Singer
Journal of machine learning research 2 (Dec), 265-292, 2001
26582001
An efficient boosting algorithm for combining preferences
Y Freund, R Iyer, RE Schapire, Y Singer
Journal of machine learning research 4 (Nov), 933-969, 2003
26422003
Pegasos: Primal estimated sub-gradient solver for svm
S Shalev-Shwartz, Y Singer, N Srebro, A Cotter
Mathematical programming 127 (1), 3-30, 2011
24622011
Reducing multiclass to binary: A unifying approach for margin classifiers
EL Allwein, RE Schapire, Y Singer
Journal of machine learning research 1 (Dec), 113-141, 2000
24192000
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
21242006
Efficient projections onto the l1-ball for learning in high dimensions
J Duchi, S Shalev-Shwartz, Y Singer, T Chandra
Proceedings of the 25th international conference on Machine learning, 272-279, 2008
13482008
The hierarchical hidden Markov model: Analysis and applications
S Fine, Y Singer, N Tishby
Machine learning 32 (1), 41-62, 1998
12641998
Unsupervised models for named entity classification
M Collins, Y Singer
1999 Joint SIGDAT Conference on Empirical Methods in Natural Language …, 1999
12261999
On the learnability and design of output codes for multiclass problems
K Crammer, Y Singer
Machine learning 47 (2-3), 201-233, 2002
9372002
Context-sensitive learning methods for text categorization
WW Cohen, Y Singer
ACM Transactions on Information Systems (TOIS) 17 (2), 141-173, 1999
9321999
Logistic regression, AdaBoost and Bregman distances
M Collins, RE Schapire, Y Singer
Machine Learning 48 (1-3), 253-285, 2002
8412002
Learning to order things
WW Cohen, RE Schapire, Y Singer
Advances in neural information processing systems, 451-457, 1998
8331998
Pranking with ranking
K Crammer, Y Singer
Advances in neural information processing systems, 641-647, 2002
8092002
Zero-shot learning by convex combination of semantic embeddings
M Norouzi, T Mikolov, S Bengio, Y Singer, J Shlens, A Frome, GS Corrado, ...
arXiv preprint arXiv:1312.5650, 2013
7382013
Ultraconservative online algorithms for multiclass problems
K Crammer, Y Singer
Journal of Machine Learning Research 3 (Jan), 951-991, 2003
7112003
The power of amnesia: Learning probabilistic automata with variable memory length
D Ron, Y Singer, N Tishby
Machine learning 25 (2-3), 117-149, 1996
6981996
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