-
2
-
-
33749241064
-
On kernels, margins and low-dimensional mappings
-
Balcan, M.-F., Blum, A., & Vempala, S. (2004). On kernels, margins and low-dimensional mappings. International Conference on Algorithmic Learning Theory.
-
(2004)
International Conference on Algorithmic Learning Theory
-
-
Balcan, M.-F.1
Blum, A.2
Vempala, S.3
-
3
-
-
34249753618
-
Support-vector networks
-
Cortes, C., & Vapnik, V. (1995). Support-vector networks. Machine Learning, 20, 273-297.
-
(1995)
Machine Learning
, vol.20
, pp. 273-297
-
-
Cortes, C.1
Vapnik, V.2
-
4
-
-
0041995195
-
-
On kernel target alignment
-
Cristianini, N., Shawe-Taylor, J., Elisseeff, A., & Kandola, J. (2001). On kernel target alignment. Advances in Neural Information Processing Systems.
-
(2001)
Advances in Neural Information Processing Systems
-
-
Cristianini, N.1
Shawe-Taylor, J.2
Elisseeff, A.3
Kandola, J.4
-
5
-
-
0033281425
-
Large margin classification using the perceptron algorithm
-
Freund, Y., & Schapire, R. E. (1999). Large margin classification using the perceptron algorithm. Machine Learning, 37, 271-296.
-
(1999)
Machine Learning
, vol.37
, pp. 271-296
-
-
Freund, Y.1
Schapire, R.E.2
-
8
-
-
33746082261
-
Agnostically learning halfspaces
-
Kalai, A., Klivans, A., Mansour, Y., & Servedio, R. (2005). Agnostically learning halfspaces. Proceedings of the 46th Annual Symposium on the Foundations of Computer Science.
-
(2005)
Proceedings of the 46th Annual Symposium on the Foundations of Computer Science
-
-
Kalai, A.1
Klivans, A.2
Mansour, Y.3
Servedio, R.4
-
9
-
-
8844278523
-
Learning the kernel matrix with semidefinite programming
-
Lanckriet, G. R. G., Cristianini, N., Bartlett, P. L., Ghaoui, L. E., & Jordan, M. I. (2004). Learning the kernel matrix with semidefinite programming. Journal of Machine Learning Research, 27-72.
-
(2004)
Journal of Machine Learning Research
, pp. 27-72
-
-
Lanckriet, G.R.G.1
Cristianini, N.2
Bartlett, P.L.3
Ghaoui, L.E.4
Jordan, M.I.5
-
12
-
-
0035272287
-
An introduction to kernel-based learning algorithms
-
Muller, K. R., Mika, S., Ratsch, G., Tsuda, K., & Scholkopf, B. (2001). An introduction to kernel-based learning algorithms. IEEE Transactions on Neural Networks, 12, 181-201.
-
(2001)
IEEE Transactions on Neural Networks
, vol.12
, pp. 181-201
-
-
Muller, K.R.1
Mika, S.2
Ratsch, G.3
Tsuda, K.4
Scholkopf, B.5
-
15
-
-
0025448521
-
The strength of weak learnability
-
Schapire, R. (1990). The strength of weak learnability. Machine Learning, 5, 197-227.
-
(1990)
Machine Learning
, vol.5
, pp. 197-227
-
-
Schapire, R.1
-
16
-
-
0032166068
-
Structural risk minimization over data-dependent hierarchies
-
Shawe-Taylor, J., Bartlett, P. L., Williamson, R. C., & Anthony, M. (1998). Structural risk minimization over data-dependent hierarchies. IEEE Trans. Information Theory, 44, 1926-1940.
-
(1998)
IEEE Trans. Information Theory
, vol.44
, pp. 1926-1940
-
-
Shawe-Taylor, J.1
Bartlett, P.L.2
Williamson, R.C.3
Anthony, M.4
-
18
-
-
0003652453
-
-
MIT Press
-
Smola, A. J., Bartlett, P., Scholkopf, B., & Schuurmans, D. (2000). Advances in large margin classifiers. MIT Press.
-
(2000)
Advances in large margin classifiers
-
-
Smola, A.J.1
Bartlett, P.2
Scholkopf, B.3
Schuurmans, D.4
|