-
1
-
-
0027802035
-
Scale-sensitive dimensions,uniform convergence and learnability
-
New York: IEEE
-
Alon, N., Ben-David, S., Cesa-Bianchi, N., & Haussler, D. (1993). Scale-sensitive dimensions,uniform convergence and learnability. In Proceedings of the 34th Annual IEEE Conference on Foundations of Computer Science (pp. 292-301). New York: IEEE.
-
(1993)
Proceedings of the 34th Annual IEEE Conference on Foundations of Computer Science
, pp. 292-301
-
-
Alon, N.1
Ben-David, S.2
Cesa-Bianchi, N.3
Haussler, D.4
-
2
-
-
5844297152
-
Theory of reproducing kernels
-
Aronszajn, N. Theory of reproducing kernels. (1950). Trans. Amer. Math. Soc., 686, 337-404.
-
(1950)
Trans. Amer. Math. Soc.
, vol.686
, pp. 337-404
-
-
Aronszajn, N.1
-
4
-
-
0036436325
-
Best choices for regularization parameters in learning theory: On the bias-variance problem
-
Cucker, F., & Smale, S. (2002). Best choices for regularization parameters in learning theory: On the bias-variance problem. Foundation of Computational Mathematics, 2, 413-428.
-
(2002)
Foundation of Computational Mathematics
, vol.2
, pp. 413-428
-
-
Cucker, F.1
Smale, S.2
-
5
-
-
0036071370
-
On the mathematical foundation of learning
-
Cucker, F., & Smale, S. (2002). On the mathematical foundation of learning. Bull. A.M.S., 39, 1-49.
-
(2002)
Bull. A.M.S.
, vol.39
, pp. 1-49
-
-
Cucker, F.1
Smale, S.2
-
6
-
-
0034419669
-
Regularization networks and support vector machines
-
Evgeniou, T., Pontil, M., & Poggio, T. (2000). Regularization networks and support vector machines. Adv. Comp. Math., 13, 1-50.
-
(2000)
Adv. Comp. Math.
, vol.13
, pp. 1-50
-
-
Evgeniou, T.1
Pontil, M.2
Poggio, T.3
-
7
-
-
0001219859
-
Regularization theory and neural networks architectures
-
Girosi, F., Jones, M., & Poggio, T. (1995). Regularization theory and neural networks architectures. Neural Computation, 7, 219-269.
-
(1995)
Neural Computation
, vol.7
, pp. 219-269
-
-
Girosi, F.1
Jones, M.2
Poggio, T.3
-
9
-
-
0036643043
-
Statistical properties and adaptive tuning of support vector machines
-
Lin, G., Wahba, Y., Zhang, H., & Lee, Y. (2003). Statistical properties and adaptive tuning of support vector machines. Machine Learning, 48, 115-136.
-
(2003)
Machine Learning
, vol.48
, pp. 115-136
-
-
Lin, G.1
Wahba, Y.2
Zhang, H.3
Lee, Y.4
-
10
-
-
9444269961
-
On the Bayes risk consistency of regularized boosting methods
-
in press
-
Lugosi, G., & Vayatis, N. (in press). On the Bayes risk consistency of regularized boosting methods. Annals of Statistics.
-
Annals of Statistics
-
-
Lugosi, G.1
Vayatis, N.2
-
11
-
-
85050903079
-
A note on different covering numbers in learning theory
-
in press
-
Pontil, M. (in press). A note on different covering numbers in learning theory. J. Complexity.
-
J. Complexity
-
-
Pontil, M.1
-
12
-
-
0004267646
-
-
Princeton, NJ: Princeton University Press
-
Rockafellar, R. (1970). Convex analysis. Princeton, NJ: Princeton University Press.
-
(1970)
Convex Analysis
-
-
Rockafellar, R.1
-
13
-
-
1842694135
-
-
Tech. Rep. No. DISI-TR-03-07. Genova: Department of Computer Science, University of Genova, Italy
-
Rosasco, L., De Vito, E., Caponnetto, A., Piana, M., & Verri. (2003). Notes on the use of different loss functions (Tech. Rep. No. DISI-TR-03-07). Genova: Department of Computer Science, University of Genova, Italy.
-
(2003)
Notes on the Use of Different Loss Functions
-
-
Rosasco, L.1
De Vito, E.2
Caponnetto, A.3
Piana, M.4
Verri5
-
17
-
-
4644257995
-
Statistical behavior and consistency of classification methods based on convex risk minimization
-
in press
-
Zhang, T. (in press). Statistical behavior and consistency of classification methods based on convex risk minimization. Annals of Statistics.
-
Annals of Statistics
-
-
Zhang, T.1
-
18
-
-
0036748375
-
The covering number in learning theory
-
Zhou, D. (2002). The covering number in learning theory. J. Complexity, 18, 739-767.
-
(2002)
J. Complexity
, vol.18
, pp. 739-767
-
-
Zhou, D.1
|