-
1
-
-
0000759079
-
The adatron; an adaptive perceptron algorithm
-
J. K. Anlauf and M. Biehl. The adatron; an adaptive perceptron algorithm. Europhysics Letters, 10: 687-692, 1989.
-
(1989)
Europhysics Letters
, vol.10
, pp. 687-692
-
-
Anlauf, J.K.1
Biehl, M.2
-
2
-
-
36948999941
-
-
University of California, Irvine, School of Information and Computer Sciences
-
A. Asuncion and D. J. Newman. UCI machine learning repository. University of California, Irvine, School of Information and Computer Sciences, http://mlearn.ics.uci.edu/MLRepository.html, 2007.
-
(2007)
UCI Machine Learning Repository
-
-
Asuncion, A.1
Newman, D.J.2
-
3
-
-
0035351666
-
A weak-to-strong convergence principle for fejér-monotone methods in hilbelt spaces
-
H. H. Bauschke and P. L. Combettes. A weak-to-strong convergence principle for Fejér-monotone methods in hilbelt spaces. Mathematics of Operations Research, 26(2): 248-264, 2001.
-
(2001)
Mathematics of Operations Research
, vol.26
, Issue.2
, pp. 248-264
-
-
Bauschke, H.H.1
Combettes, P.L.2
-
4
-
-
25444522689
-
Fast kernel classifiers with online and active learning
-
A. Bordes, S. Ertekin, J. Weston, and Léon Bottou. Fast kernel classifiers with online and active learning. Journal of Machine Learning Research, 6: 1579-1619, 2005.
-
(2005)
Journal of Machine Learning Research
, vol.6
, pp. 1579-1619
-
-
Bordes, A.1
Ertekin, S.2
Weston, J.3
Bottou, L.4
-
8
-
-
10044235999
-
Libsvm: A library for support vector machines
-
C. C. Chang and C. J. Lin. Libsvm: a library for support vector machines. Software available at http://www.csie.ntu.edu.tw/~cjlin/libsvm, 2001.
-
(2001)
Software
-
-
Chang, C.C.1
Lin, C.J.2
-
9
-
-
34249753618
-
Support vector networks
-
C. Cortes and V. Vapnik. Support vector networks. Machine Learning, 20: 273-297, 1995.
-
(1995)
Machine Learning
, vol.20
, pp. 273-297
-
-
Cortes, C.1
Vapnik, V.2
-
11
-
-
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): 277-299, 1999.
-
(1999)
Machine Learning
, vol.37
, Issue.3
, pp. 277-299
-
-
Freund, Y.1
Schapire, R.E.2
-
13
-
-
84868111801
-
A new approximate maximal margin classification algorithm
-
C. Gentile. A new approximate maximal margin classification algorithm. Journal of Machine Learning Research, 2: 213-242, 2001.
-
(2001)
Journal of Machine Learning Research
, vol.2
, pp. 213-242
-
-
Gentile, C.1
-
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
-
16
-
-
0002714543
-
Making large-scale support vector machine learning practical
-
A. Smola B. Schölkopf, C. Burges, editor MIT Press
-
T. Joachims. Making large-scale support vector machine learning practical. In A. Smola B. Schölkopf, C. Burges, editor, Advances in kernel methods - Support vector learning, pages 169-184. MIT Press, 1999.
-
(1999)
Advances in Kernel Methods - Support Vector Learning
, pp. 169-184
-
-
Joachims, T.1
-
18
-
-
0033640690
-
A fast iterative nearest point algorithm for support vector machine classifier design
-
S. S. Keerthi, S. K. Shevade, C. Bhattacharyya, and K. R. K. Murthy. A fast iterative nearest point algorithm for support vector machine classifier design. IEEE Transactions on Neural Networks, 11(1): 124-136, 2000.
-
(2000)
IEEE Transactions on Neural Networks
, vol.11
, Issue.1
, pp. 124-136
-
-
Keerthi, S.S.1
Shevade, S.K.2
Bhattacharyya, C.3
Murthy, K.R.K.4
-
19
-
-
3543110224
-
Online learning with kernels
-
J. Kivinen, A. J. Smola, and R. C. Williamson. Online learning with kernels. IEEE Transactions on Signal Processing, 52(8): 2165-2176, 2004.
-
(2004)
IEEE Transactions on Signal Processing
, vol.52
, Issue.8
, pp. 2165-2176
-
-
Kivinen, J.1
Smola, A.J.2
Williamson, R.C.3
-
20
-
-
0031375503
-
The perceptron algorithm versus winnow: Linear versus logarithmic mistake bounds when few input variables are relevant
-
J. Kivinen, M. K. Warmuth, and P. Auer. The perceptron algorithm versus winnow: linear versus logarithmic mistake bounds when few input variables are relevant. Artificial Intelligence, 97(1-2): 325-343, 1997.
-
(1997)
Artificial Intelligence
, vol.97
, Issue.1-2
, pp. 325-343
-
-
Kivinen, J.1
Warmuth, M.K.2
Auer, P.3
-
21
-
-
0003357515
-
Maximum margin perceptron
-
B. Scholkopf A. Smola, P. Bartlett and D. Schuurmans, editors MIT Press
-
A. Kowalczyk. Maximum margin perceptron. In B. Scholkopf A. Smola, P. Bartlett and D. Schuurmans, editors, Advances in Large Margin Classifiers, pages 75-114. MIT Press, 2000.
-
(2000)
Advances in Large Margin Classifiers
, pp. 75-114
-
-
Kowalczyk, A.1
-
22
-
-
0036161258
-
The relaxed online maximum margin algorithm
-
Y. Li and P. M. Long. The relaxed online maximum margin algorithm. Machine Learning, 46(1-3): 361-387, 2002.
-
(2002)
Machine Learning
, vol.46
, Issue.1-3
, pp. 361-387
-
-
Li, Y.1
Long, P.M.2
-
23
-
-
34250091945
-
Learning quickly when irrelevant attributes abound: A new linear-threshold algorithm
-
N. Littlestone. Learning quickly when irrelevant attributes abound: A new linear-threshold algorithm. Machine Learning, 2(4): 285-318, 1988.
-
(1988)
Machine Learning
, vol.2
, Issue.4
, pp. 285-318
-
-
Littlestone, N.1
-
27
-
-
0000327937
-
On convergence proofs on perceptrons
-
Polytechnic Institute of Brooklyn
-
A. B. Novikoff. On convergence proofs on perceptrons. In Symposium on the Mathematical Theory of Automata, volume 12, pages 615-622. Polytechnic Institute of Brooklyn, 1962.
-
(1962)
Symposium on the Mathematical Theory of Automata
, vol.12
, pp. 615-622
-
-
Novikoff, A.B.1
-
29
-
-
0003120218
-
Fast training of support vector machines using sequential minimal optimization
-
B. Scholköpf, C. Burges, and A. Smola, editors MIT Press
-
J. Platt. Fast training of support vector machines using sequential minimal optimization. In B. Scholköpf, C. Burges, and A. Smola, editors, Advances in Kernel Methods - Support Vector Learning, pages 185-208. MIT Press, 1999.
-
(1999)
Advances in Kernel Methods - Support Vector Learning
, pp. 185-208
-
-
Platt, J.1
-
31
-
-
11144273669
-
The perceptron: A probabilistic model for information storage and organization in the brain
-
Frank Rosenblatt. The perceptron: a probabilistic model for information storage and organization in the brain. Psychological Review, 65: 386-408, 1959.
-
(1959)
Psychological Review
, vol.65
, pp. 386-408
-
-
Rosenblatt, F.1
-
32
-
-
0032280519
-
Boosting the margin: A new explanation for the effectiveness of voting methods
-
R. E. Schapire, Y. Freund, P. Bartlett, and W. S. Lee. Boosting the margin: a new explanation for the effectiveness of voting methods. The Annals of Statistics, 26(5): 1651-1686, 1998.
-
(1998)
The Annals of Statistics
, vol.26
, Issue.5
, pp. 1651-1686
-
-
Schapire, R.E.1
Freund, Y.2
Bartlett, P.3
Lee, W.S.4
-
34
-
-
0032166068
-
Structural risk minimization over data-dependent hierarchies
-
J. Shawe-Taylor, P. L. Bartlett, R. C. Williamson, and M. Anthony. Structural risk minimization over data-dependent hierarchies. IEEE Transactions on Information Theory, 44(5): 1926-1940, 1998.
-
(1998)
IEEE Transactions on Information Theory
, vol.44
, Issue.5
, pp. 1926-1940
-
-
Shawe-Taylor, J.1
Bartlett, P.L.2
Williamson, R.C.3
Anthony, M.4
|