-
2
-
-
0001347323
-
Complexity regularization with applications to artificial neural networks
-
(G. Roussas, ed.) Kluwer, Dordrecht
-
BARRON, A. (1991a). Complexity regularization with applications to artificial neural networks. In Nonparametric Functional Estimation and Related Topics (G. Roussas, ed.) 561-576. Kluwer, Dordrecht.
-
(1991)
Nonparametric Functional Estimation and Related Topics
, pp. 561-576
-
-
Barron, A.1
-
5
-
-
0032028728
-
The sample complexity of pattern classification with neural networks: The size of the weights is more important than the size of the network
-
BARTLETT, P. (1998). The sample complexity of pattern classification with neural networks: the size of the weights is more important than the size of the network. IEEE Trans. Inform. Theory 44 525-536.
-
(1998)
IEEE Trans. Inform. Theory
, vol.44
, pp. 525-536
-
-
Bartlett, P.1
-
6
-
-
0002094343
-
Generalization performance of support vector machines and other pattern classifiers
-
(B. Schölkopf, C. Burges and A. J. Smola, eds.) MIT Press
-
BARTLETT, P. and SHAWE-TAYLOR, J. (1999). Generalization performance of support vector machines and other pattern classifiers. In Advances in Kernel Methods: Support Vector Learning (B. Schölkopf, C. Burges and A. J. Smola, eds.) 43-54. MIT Press.
-
(1999)
Advances in Kernel Methods: Support Vector Learning
, pp. 43-54
-
-
Bartlett, P.1
Shawe-Taylor, J.2
-
7
-
-
0003100694
-
From model selection to adaptive estimation
-
(D. Pollard, E. Torgersen and G. Yang, eds.) Springer, New York
-
BIRGÉ, L. and MASSART, P. (1997). From model selection to adaptive estimation. In Festschrift for Lucien Le Cam: Research Papers in Probability and Statistics (D. Pollard, E. Torgersen and G. Yang, eds.) 55-87. Springer, New York.
-
(1997)
Festschrift for Lucien Le Cam: Research Papers in Probability and Statistics
, pp. 55-87
-
-
Birgé, L.1
Massart, P.2
-
9
-
-
0030211964
-
Bagging predictors
-
BREIMAN, L. (1996). Bagging predictors. Machine Learning 24 123-140.
-
(1996)
Machine Learning
, vol.24
, pp. 123-140
-
-
Breiman, L.1
-
10
-
-
34249753618
-
Support vector networks
-
CORTES, C. and 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
-
15
-
-
58149321460
-
Boosting a weak learning algorithm by majority
-
FREUND, Y. (1995). Boosting a weak learning algorithm by majority. Inform, and Comput. 121 256-285.
-
(1995)
Inform, and Comput.
, vol.121
, pp. 256-285
-
-
Freund, Y.1
-
17
-
-
0003591748
-
Greedy function approximation: A gradient boosting machine
-
Dept. Statistics, Stanford Univ.
-
FRIEDMAN, J. (1999). Greedy function approximation: a gradient boosting machine. Technical report, Dept. Statistics, Stanford Univ.
-
(1999)
Technical Report
-
-
Friedman, J.1
-
18
-
-
0034164230
-
Additive logistic regression: A statistical view of boosting
-
FRIEDMAN, J., HASTIE, T. and TIBSHIRANI, R. (2000). Additive logistic regression: a statistical view of boosting. Ann. Statist. 28 337-374.
-
(2000)
Ann. Statist.
, vol.28
, pp. 337-374
-
-
Friedman, J.1
Hastie, T.2
Tibshirani, R.3
-
19
-
-
0008978860
-
Oracle inequalities and nonparametric function estimation
-
JOHNSTONE, I. M. (1998). Oracle inequalities and nonparametric function estimation. In Doc. Math. (Extra Volume) 3 267-278.
-
(1998)
Doc. Math. (Extra Volume)
, vol.3
, pp. 267-278
-
-
Johnstone, I.M.1
-
20
-
-
0035397715
-
Rademacher penalties and structural risk minimization
-
To appear
-
KOLTCHINSKII, V. (2001). Rademacher penalties and structural risk minimization. IEEE Trans. Inform. Theory. To appear.
-
(2001)
IEEE Trans. Inform. Theory
-
-
Koltchinskii, V.1
-
21
-
-
0001166808
-
Rademacher processes and bounding the risk of function learning
-
(E. Giné, D. Mason and J. Wellner, eds.) Birkhäuser, Boston
-
KOLTCHINSKII, V. and PANCHENKO, D. (2000). Rademacher processes and bounding the risk of function learning. In High Dimensional Probability II (E. Giné, D. Mason and J. Wellner, eds.) 444-459. Birkhäuser, Boston.
-
(2000)
High Dimensional Probability II
, pp. 444-459
-
-
Koltchinskii, V.1
Panchenko, D.2
-
25
-
-
0033870982
-
Improved generalization through explicit optimization of margins
-
MASON, L., BARTLETT, P. and BAXTER, J. (1999). Improved generalization through explicit optimization of margins. Machine Learning 38 243-255.
-
(1999)
Machine Learning
, vol.38
, pp. 243-255
-
-
Mason, L.1
Bartlett, P.2
Baxter, J.3
-
26
-
-
0002550596
-
Functional gradient techniques for combining hypotheses
-
(A. J. Smola, P. Bartlett, B. Schölkopf and D. Schurmans, eds.) MIT Press
-
MASON, L., BAXTER, J., BARTLETT, P. and FREAN, M. (2000). Functional gradient techniques for combining hypotheses. In Advances in Large Margin Classifiers (A. J. Smola, P. Bartlett, B. Schölkopf and D. Schurmans, eds.) MIT Press.
-
(2000)
Advances in Large Margin Classifiers
-
-
Mason, L.1
Baxter, J.2
Bartlett, P.3
Frean, M.4
-
27
-
-
0034345597
-
About the constants in Talagrand's concentration inequalities for empirical processes
-
MASSART, P. (2000). About the constants in Talagrand's concentration inequalities for empirical processes. Ann. Probab. 28 863-885.
-
(2000)
Ann. Probab.
, vol.28
, pp. 863-885
-
-
Massart, P.1
-
28
-
-
0043114239
-
On the Glivenko-Cantelli theorem
-
SAZONOV, V. V. (1963). On the Glivenko-Cantelli theorem. Theory Probab. Appl. 8 282-285.
-
(1963)
Theory Probab. Appl.
, vol.8
, pp. 282-285
-
-
Sazonov, V.V.1
-
29
-
-
0032280519
-
Boosting the margin: A new explanation for the effectiveness of voting methods
-
SCHAPIRE, R., FREUND, Y., BARTLETT, P. and LEE, W. S. (1998). Boosting the margin: A new explanation for the effectiveness of voting methods. Ann. Statist. 26 1651-1686.
-
(1998)
Ann. Statist.
, vol.26
, pp. 1651-1686
-
-
Schapire, R.1
Freund, Y.2
Bartlett, P.3
Lee, W.S.4
-
30
-
-
0030522124
-
A new look at independence
-
TALAGRAND, M. (1996a). A new look at independence. Ann. Probab. 24 1-34.
-
(1996)
Ann. Probab.
, vol.24
, pp. 1-34
-
-
Talagrand, M.1
-
31
-
-
0030489977
-
New concentration inequalities in product spaces
-
TALAGRAND, M. (1996b). New concentration inequalities in product spaces. Invent. Math. 126 505-563.
-
(1996)
Invent. Math.
, vol.126
, pp. 505-563
-
-
Talagrand, M.1
-
32
-
-
0009148982
-
Rigorous results for the Hopfield model with many patterns
-
TALAGRAND, M. (1998). Rigorous results for the Hopfield model with many patterns. Probab. Theory Related Fields 110 177-276.
-
(1998)
Probab. Theory Related Fields
, vol.110
, pp. 177-276
-
-
Talagrand, M.1
-
33
-
-
0041611404
-
Two examples concerning uniform convergence of measures w.r.t. balls in Banach spaces
-
Springer, Berlin
-
TOPSØE, F., DUDLEY, R. and HOFFMANN-JØRGENSEN, J. (1976). Two examples concerning uniform convergence of measures w.r.t. balls in Banach spaces. Empirical Distributions and Processes. Lecture Notes in Math. 566 141-146. Springer, Berlin.
-
(1976)
Empirical Distributions and Processes. Lecture Notes in Math.
, vol.566
, pp. 141-146
-
-
Topsøe, F.1
Dudley, R.2
Hoffmann-Jørgensen, J.3
-
37
-
-
0029341524
-
Sup-norm approximation bounds for networks through probabilistic methods
-
YUKICH, J., STINCHCOMBE, H. and WHITE, H. (1995). Sup-norm approximation bounds for networks through probabilistic methods. IEEE Trans. Inform. Theory 41 1021-1027.
-
(1995)
IEEE Trans. Inform. Theory
, vol.41
, pp. 1021-1027
-
-
Yukich, J.1
Stinchcombe, H.2
White, H.3
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