-
1
-
-
0000026159
-
The relaxation method for linear inequalities
-
S. Agmon. The relaxation method for linear inequalities. Canadian Journal of Mathematics, 6(3):382-392, 1954.
-
(1954)
Canadian Journal of Mathematics
, vol.6
, Issue.3
, pp. 382-392
-
-
Agmon, S.1
-
3
-
-
0038453192
-
Rademacher and Gaussian complexities: Risk bounds and structural results
-
P. L. Bartlett and S. Mendelson. Rademacher and Gaussian complexities: Risk bounds and structural results. Journal of Machine Learning Research, 3:463-482, 2002.
-
(2002)
Journal of Machine Learning Research
, vol.3
, pp. 463-482
-
-
Bartlett, P.L.1
Mendelson, S.2
-
4
-
-
33645505792
-
Convexity, classification, and risk bounds
-
P. L. Bartlett, M. I. Jordan, and J. D. McAuliffe. Convexity, classification, and risk bounds. Journal of the American Statistical Association, 101:138-156, 2006.
-
(2006)
Journal of the American Statistical Association
, vol.101
, pp. 138-156
-
-
Bartlett, P.L.1
Jordan, M.I.2
McAuliffe, J.D.3
-
5
-
-
0009067029
-
Efficient learning of linear perceptrons
-
S. Ben-David and H. Simon. Efficient learning of linear perceptrons. In NIPS, 2000.
-
(2000)
NIPS
-
-
Ben-David, S.1
Simon, H.2
-
7
-
-
84867129520
-
Minimizing the misclassification error rate using a surrogate convex loss
-
S. Ben-David, D. Loker, N. Srebro, and K. Sridharan. Minimizing the misclassification error rate using a surrogate convex loss. In ICML, 2012.
-
(2012)
ICML
-
-
Ben-David, S.1
Loker, D.2
Srebro, N.3
Sridharan, K.4
-
8
-
-
78149346647
-
Polynomial regression under arbitrary product distributions
-
E. Blais, R. O'Donnell, and KWimmer. Polynomial regression under arbitrary product distributions. In COLT, 2008.
-
(2008)
COLT
-
-
Blais, E.1
O'donnell, R.2
Wimmer, K.3
-
12
-
-
0033281425
-
Large margin classification using the perceptron algorithm
-
Y. Freund and R. E. Schapire. Large margin classification using the perceptron algorithm. Machine Learning, 37(3):277-296, 1999.
-
(1999)
Machine Learning
, vol.37
, Issue.3
, pp. 277-296
-
-
Freund, Y.1
Schapire, R.E.2
-
13
-
-
0031211090
-
A decision-theoretic generalization of on-line learning and an application to boosting
-
August
-
Y. Freund and R.E. Schapire. A decision-theoretic generalization of on-line learning and an application to boosting. Journal of Computer and System Sciences, 55(1):119-139, August 1997.
-
(1997)
Journal of Computer and System Sciences
, vol.55
, Issue.1
, pp. 119-139
-
-
Freund, Y.1
Schapire, R.E.2
-
14
-
-
0344875562
-
The robustness of the p-norm algorithms
-
C. Gentile. The robustness of the p-norm algorithms. Machine Learning, 53(3):265-299, 2003.
-
(2003)
Machine Learning
, vol.53
, Issue.3
, pp. 265-299
-
-
Gentile, C.1
-
18
-
-
85162477181
-
Learning large-margin halfspaces with more malicious noise
-
P.M. Long and R.A. Servedio. Learning large-margin halfspaces with more malicious noise. In NIPS, 2011.
-
(2011)
NIPS
-
-
Long, P.M.1
Servedio, R.A.2
-
19
-
-
11144273669
-
The perceptron: A probabilistic model for information storage and organization in the brain
-
Reprinted in Neurocomputing (MIT Press, 1988)
-
F. Rosenblatt. The perceptron: A probabilistic model for information storage and organization in the brain. Psychological Review, 65:386-407, 1958. (Reprinted in Neurocomputing (MIT Press, 1988).).
-
(1958)
Psychological Review
, vol.65
, pp. 386-407
-
-
Rosenblatt, F.1
-
21
-
-
2542488394
-
Smooth boosting and learning with malicious noise
-
R.A. Servedio. Smooth boosting and learning with malicious noise. Journal of Machine Learning Research, 4: 633-648, 2003.
-
(2003)
Journal of Machine Learning Research
, vol.4
, pp. 633-648
-
-
Servedio, R.A.1
-
25
-
-
4644257995
-
Statistical behavior and consistency of classification methods based on convex risk minimization
-
T. Zhang. Statistical behavior and consistency of classification methods based on convex risk minimization. The Annals of Statistics, 32:56-85, 2004.
-
(2004)
The Annals of Statistics
, vol.32
, pp. 56-85
-
-
Zhang, T.1
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