Yoav Freund
Yoav Freund
Verified email at eng.ucsd.edu
Title
Cited by
Cited by
Year
A decision-theoretic generalization of on-line learning and an application to boosting
Y Freund, RE Schapire
Journal of computer and system sciences 55 (1), 119-139, 1997
212911997
Experiments with a new boosting algorithm
Y Freund, RE Schapire
icml 96, 148-156, 1996
107141996
A short introduction to boosting
Y Freund, R Schapire, N Abe
Journal-Japanese Society For Artificial Intelligence 14 (771-780), 1612, 1999
41211999
Boosting the margin: A new explanation for the effectiveness of voting methods
P Bartlett, Y Freund, WS Lee, RE Schapire
The annals of statistics 26 (5), 1651-1686, 1998
35171998
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
26432003
Boosting a weak learning algorithm by majority
Y Freund
Information and computation 121 (2), 256-285, 1995
24201995
The nonstochastic multiarmed bandit problem
P Auer, N Cesa-Bianchi, Y Freund, RE Schapire
SIAM journal on computing 32 (1), 48-77, 2002
21602002
Large margin classification using the perceptron algorithm
Y Freund, RE Schapire
Machine learning 37 (3), 277-296, 1999
17321999
A brief introduction to boosting
RE Schapire
Ijcai 99, 1401-1406, 1999
16031999
Selective sampling using the query by committee algorithm
Y Freund, HS Seung, E Shamir, N Tishby
Machine learning 28 (2), 133-168, 1997
13951997
The alternating decision tree learning algorithm
Y Freund, L Mason
icml 99, 124-133, 1999
10461999
Boosting: Foundations and algorithms
RE Schapire, Y Freund
Kybernetes, 2013
9182013
How to use expert advice
N Cesa-Bianchi, Y Freund, D Haussler, DP Helmbold, RE Schapire, ...
Journal of the ACM (JACM) 44 (3), 427-485, 1997
8961997
Gambling in a rigged casino: The adversarial multi-armed bandit problem
P Auer, N Cesa-Bianchi, Y Freund, RE Schapire
Proceedings of IEEE 36th Annual Foundations of Computer Science, 322-331, 1995
8961995
A decision-theoretic generalization of on-line learning and an application to boosting
R Schapire, Y Freund
Second European Conference on Computational Learning Theory, 23-37, 1995
8041995
Adaptive game playing using multiplicative weights
Y Freund, RE Schapire
Games and Economic Behavior 29 (1-2), 79-103, 1999
5871999
Lamellipodial actin mechanically links myosin activity with adhesion-site formation
G Giannone, BJ Dubin-Thaler, O Rossier, Y Cai, O Chaga, G Jiang, ...
Cell 128 (3), 561-575, 2007
5322007
An adaptive version of the boost by majority algorithm
Y Freund
Machine learning 43 (3), 293-318, 2001
4952001
Game theory, on-line prediction and boosting
Y Freund, RE Schapire
Proceedings of the ninth annual conference on Computational learning theory …, 1996
4791996
Unsupervised learning of distributions of binary vectors using two layer networks
Y Freund, D Haussler
Computer Research Laboratory [University of California, Santa Cruz], 1994
4131994
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Articles 1–20