-
3
-
-
0026966646
-
A training algorithm for optimal margin classifiers
-
Pittsburgh, PA: ACM Press
-
Boser, B. E., Guyon, I. M., & Vapnik, V. (1992). A training algorithm for optimal margin classifiers. Proceedings of the 5th Annual ACM Workshop on Computational Learning Theory (pp. 144-152). Pittsburgh, PA: ACM Press.
-
(1992)
Proceedings of the 5th Annual ACM Workshop on Computational Learning Theory
, pp. 144-152
-
-
Boser, B.E.1
Guyon, I.M.2
Vapnik, V.3
-
4
-
-
0013230715
-
Noise injection: Theoretical prospects
-
Grandvalet, Y., Canu, S., & Boucheron, S. (1997). Noise injection: Theoretical prospects. Neural Computation, 9, 1093-1108.
-
(1997)
Neural Computation
, vol.9
, pp. 1093-1108
-
-
Grandvalet, Y.1
Canu, S.2
Boucheron, S.3
-
5
-
-
0008847393
-
From data distributions to regularization in invariant learning
-
Cambridge MA: MIT Press
-
Leen, T. K. (1995). From data distributions to regularization in invariant learning. Advances in Neural information processing systems 7. Cambridge MA: MIT Press.
-
(1995)
Advances in Neural information processing systems 7
-
-
Leen, T.K.1
-
6
-
-
84876811202
-
Rcv1: A new benchmark collection for text categorization research
-
Lewis, D. D., Yang, Y., Rose, T., & Li, F. (2004). Rcv1: A new benchmark collection for text categorization research. Journal of Machine Learning Research, 5, 361-397.
-
(2004)
Journal of Machine Learning Research
, vol.5
, pp. 361-397
-
-
Lewis, D.D.1
Yang, Y.2
Rose, T.3
Li, F.4
-
7
-
-
0000963583
-
Linear and nonlinear separation of patterns by linear programming
-
Mangasarian, O. L. (1965). Linear and nonlinear separation of patterns by linear programming. Operations Research, 19, 444-452.
-
(1965)
Operations Research
, vol.19
, pp. 444-452
-
-
Mangasarian, O.L.1
-
8
-
-
0032203371
-
Incorporating prior information in machine learning by creating virtual examples
-
Niyogi, P., Girosi, F., & Poggio, T. (1998). Incorporating prior information in machine learning by creating virtual examples. Proceedings of the IEEE, 86, 2196-2209.
-
(1998)
Proceedings of the IEEE
, vol.86
, pp. 2196-2209
-
-
Niyogi, P.1
Girosi, F.2
Poggio, T.3
-
9
-
-
84902142380
-
Incorporating invariances in support vector learning machines
-
Artificial Neural Networks, ICANN'96 pp, Berlin
-
Schölkopf, B., Burges, C., & Vapnik, V. (1996). Incorporating invariances in support vector learning machines. Artificial Neural Networks - ICANN'96 (pp. 47-52). Berlin: Springer Lecture Notes in Computer Science, Vol. 1112.
-
(1996)
Springer Lecture Notes in Computer Science
, vol.1112
, pp. 47-52
-
-
Schölkopf, B.1
Burges, C.2
Vapnik, V.3
-
10
-
-
0032166068
-
-
Shawe-Taylor, J., Bartlett, P. L., Williamson, R. C., & Anthony, M. (1998). Structural risk minimization over data-dependent hierarchies. 44, 1926-1940.
-
(1998)
Structural risk minimization over data-dependent hierarchies
, vol.44
, pp. 1926-1940
-
-
Shawe-Taylor, J.1
Bartlett, P.L.2
Williamson, R.C.3
Anthony, M.4
|