-
1
-
-
0000710299
-
Queries and concept learning
-
4
-
Angluin, D. (1988). Queries and concept learning. Machine Learning, 2(4), 319-342.
-
(1988)
Machine Learning
, vol.2
, pp. 319-342
-
-
Angluin, D.1
-
2
-
-
0032140937
-
Tracking the best disjunction
-
2
-
Auer, P., & Warmuth, M. (1998). Tracking the best disjunction. Machine Learning, 32(2), 127-150.
-
(1998)
Machine Learning
, vol.32
, pp. 127-150
-
-
Auer, P.1
Warmuth, M.2
-
3
-
-
0000430986
-
The Perceptron: A model for brain functioning
-
Block, H. (1962). The Perceptron: A model for brain functioning. Review of Modern Physics, 34, 123-135.
-
(1962)
Review of Modern Physics
, vol.34
, pp. 123-135
-
-
Block, H.1
-
5
-
-
20544470498
-
A second-order Perceptron algorithm
-
3
-
Cesa-Bianchi, N., Conconi, A., & Gentile, C. (2005). A second-order Perceptron algorithm. SIAM Journal on Computing, 43(3), 640-668.
-
(2005)
SIAM Journal on Computing
, vol.43
, pp. 640-668
-
-
Cesa-Bianchi, N.1
Conconi, A.2
Gentile, C.3
-
7
-
-
84864063405
-
The Forgetron: A Kernel-based Perceptron on a fixed budget
-
Dekel, O., Shalev-Shwartz, S., & Singer, Y. (2006). The Forgetron: A Kernel-based Perceptron on a fixed budget. In Advances in Neural Information Processing Systems, 18 (pp. 259-266).
-
(2006)
Advances in Neural Information Processing Systems
, vol.18
, pp. 259-266
-
-
Dekel, O.1
Shalev-Shwartz, S.2
Singer, Y.3
-
8
-
-
0033281425
-
Large margin classification using the Perceptron algorithm
-
Freund, Y., & Schapire, R. (1999). Large margin classification using the Perceptron algorithm. Machine Learning (pp. 277-296).
-
(1999)
Machine Learning
, pp. 277-296
-
-
Freund, Y.1
Schapire, R.2
-
9
-
-
84868111801
-
A new approximate maximal margin classification algorithm
-
Gentile, C. (2001). A new approximate maximal margin classification algorithm. Journal of Machine Learning Research, 2, 213-242.
-
(2001)
Journal of Machine Learning Research
, vol.2
, pp. 213-242
-
-
Gentile, C.1
-
10
-
-
0344875562
-
The robustness of the p-norm algorithms
-
3
-
Gentile, C. (2003). The robustness of the p-norm algorithms. Machine Learning, 53(3), 265-299.
-
(2003)
Machine Learning
, vol.53
, pp. 265-299
-
-
Gentile, C.1
-
13
-
-
0032137328
-
Tracking the best expert
-
2
-
Herbster, M., & Warmuth, M. (1998). Tracking the best expert. Machine Learning, 32(2), 151-178.
-
(1998)
Machine Learning
, vol.32
, pp. 151-178
-
-
Herbster, M.1
Warmuth, M.2
-
15
-
-
3543110224
-
Online learning with Kernels
-
Kivinen, J., Smola, A., & Williamson, R. (2004). Online learning with Kernels. IEEE Transactions on Signal Processing, 52(8), 2165-2176.
-
(2004)
IEEE Transactions on Signal Processing
, vol.52
, Issue.8
, pp. 2165-2176
-
-
Kivinen, J.1
Smola, A.2
Williamson, R.3
-
16
-
-
0036161258
-
The relaxed online maximum margin algorithm
-
1/3
-
Li, Y., & Long, P. (2002). The relaxed online maximum margin algorithm. Machine Learning, 46(1/3), 361-387.
-
(2002)
Machine Learning
, vol.46
, pp. 361-387
-
-
Li, Y.1
Long, P.2
-
17
-
-
34250091945
-
Learning quickly when irrelevant attributes abound: A new linear-threshold algorithm
-
4
-
Littlestone, N. (1988). Learning quickly when irrelevant attributes abound: A new linear-threshold algorithm. Machine Learning, 2(4), 285-318.
-
(1988)
Machine Learning
, vol.2
, pp. 285-318
-
-
Littlestone, N.1
-
20
-
-
35348894237
-
-
Reuters (2000). http://about.reuters.com/researchandstandards/corpus/.
-
(2000)
-
-
|