-
1
-
-
0000501656
-
Information theory and an extension of the maximum likelihood principle
-
B. N. Petrov and F. Csaki, Eds. Budapest, Hungary: Akademia Kiado
-
H. Akaike, "Information theory and an extension of the maximum likelihood principle," in Proc. 2nd Int. Symp. Infoormation Theory, B. N. Petrov and F. Csaki, Eds. Budapest, Hungary: Akademia Kiado, 1973, pp. 267-281.
-
(1973)
Proc. 2nd Int. Symp. Infoormation Theory
, pp. 267-281
-
-
Akaike, H.1
-
2
-
-
0001347323
-
Complexity regularization with application to artificial neural networks
-
G. Roussas, Ed. Dordrecht, The Netherlands: Kluwer
-
A. R. Barron, "Complexity regularization with application to artificial neural networks," in Nonparametric Functional Estimation and Related Topics, G. Roussas, Ed. Dordrecht, The Netherlands: Kluwer, 1991, pp. 561-576.
-
(1991)
Nonparametric Functional Estimation and Related Topics
, pp. 561-576
-
-
Barron, A.R.1
-
3
-
-
0002678121
-
Neural net approximation
-
K. Narendra, Ed. New Haven, CT: Yale Univ., May
-
_, "Neural net approximation," in Proc. Yale Worksh. Adaptive Learning Syst., K. Narendra, Ed. New Haven, CT: Yale Univ., May 1992.
-
(1992)
Proc. Yale Worksh. Adaptive Learning Syst.
-
-
-
4
-
-
0027599793
-
Universal approximation bounds for superpositions of a sigmoidal function
-
_, "Universal approximation bounds for superpositions of a sigmoidal function," IEEE Trans. Inform. Theory, vol. 39, pp. 930-945, 1993.
-
(1993)
IEEE Trans. Inform. Theory
, vol.39
, pp. 930-945
-
-
-
5
-
-
0001325515
-
Approximation and estimation bounds for artificial neural networks
-
_, "Approximation and estimation bounds for artificial neural networks," Machine Learning, vol. 14, pp. 115-133, 1994.
-
(1994)
Machine Learning
, vol.14
, pp. 115-133
-
-
-
6
-
-
0033459856
-
Risk bounds for model selection via penalization
-
A. R. Barron, L. Birgé, and P. Massart, "Risk bounds for model selection via penalization," Probab. Theory Related Fields, vol. 13, pp. 301-413, 1999.
-
(1999)
Probab. Theory Related Fields
, vol.13
, pp. 301-413
-
-
Barron, A.R.1
Birgé, L.2
Massart, P.3
-
7
-
-
0026190366
-
Minimum complexity density estimation
-
A. R. Barron, and T. M. Cover, "Minimum complexity density estimation," IEEE Trans. Inform. Theory, vol. 37, pp. 1034-1054, 1991.
-
(1991)
IEEE Trans. Inform. Theory
, vol.37
, pp. 1034-1054
-
-
Barron, A.R.1
Cover, T.M.2
-
8
-
-
0003100694
-
From model selection to adaptive estimation
-
D. Pollard, E. Torgersen, and G. Yang, Eds. New York: Springer-Verlag
-
L. Birgé and P. Massart, "From model selection to adaptive estimation," Research Papers in Probability and Statistics: Festschrift for Lucien Le Cam, D. Pollard, E. Torgersen, and G. Yang, Eds. New York: Springer-Verlag, 1996.
-
(1996)
Research Papers in Probability and Statistics: Festschrift for Lucien Le Cam
-
-
Birgé, L.1
Massart, P.2
-
10
-
-
0002786665
-
Spline approximation by quasi-interpolents
-
C. de Boor and G. J. Fix, "Spline approximation by quasi-interpolents," J. Approx. Theory, vol. 8, pp. 19-45, 1973.
-
(1973)
J. Approx. Theory
, vol.8
, pp. 19-45
-
-
De Boor, C.1
Fix, G.J.2
-
11
-
-
0024053797
-
Automatic pattern recognition: A study of the probability of error
-
L. Devroye, "Automatic pattern recognition: A study of the probability of error," IEEE Trans. Pattern Anal. Machine Intell., vol. 10, pp. 530-543, 1988.
-
(1988)
IEEE Trans. Pattern Anal. Machine Intell.
, vol.10
, pp. 530-543
-
-
Devroye, L.1
-
13
-
-
0032022221
-
Radial basis function networks and complexity regularization in function learning
-
A. Krzyzak and T. Linder, "Radial basis function networks and complexity regularization in function learning," IEEE Trans. Neural Networks, vol. 9, pp. 247-256, 1998.
-
(1998)
IEEE Trans. Neural Networks
, vol.9
, pp. 247-256
-
-
Krzyzak, A.1
Linder, T.2
-
14
-
-
33749932014
-
Adaptive model selection using empirical complexities
-
submitted for publication
-
G. Lugosi and A. Nobel, "Adaptive model selection using empirical complexities," Ann. Statist., 1996, submitted for publication.
-
(1996)
Ann. Statist.
-
-
Lugosi, G.1
Nobel, A.2
-
15
-
-
0029307575
-
Nonparametric estimation via empirical risk minimization
-
G. Lugosi and K. Zeger, "Nonparametric estimation via empirical risk minimization," IEEE Trans. Inform. Theory, vol. 41, pp. 677-687, 1995.
-
(1995)
IEEE Trans. Inform. Theory
, vol.41
, pp. 677-687
-
-
Lugosi, G.1
Zeger, K.2
-
16
-
-
0029754587
-
Concept learning using complexity regularization
-
_, "Concept learning using complexity regularization," IEEE Trans. Inform. Theory, vol. 42, pp. 48-54, 1996.
-
(1996)
IEEE Trans. Inform. Theory
, vol.42
, pp. 48-54
-
-
-
18
-
-
0346862811
-
The use of polynomial splines and their tensor products in multivariate function estimation
-
C. J. Stone, "The use of polynomial splines and their tensor products in multivariate function estimation," Ann. Statist., vol. 22, pp. 118-184, 1994.
-
(1994)
Ann. Statist.
, vol.22
, pp. 118-184
-
-
Stone, C.J.1
-
19
-
-
0031672252
-
An asymptotic property of model selection criteria
-
Y. Yang and A. R. Barron, "An asymptotic property of model selection criteria," IEEE Trans. Inform. Theory, vol. 44, pp. 95-116, 1998.
-
(1998)
IEEE Trans. Inform. Theory
, vol.44
, pp. 95-116
-
-
Yang, Y.1
Barron, A.R.2
-
20
-
-
0033233737
-
Information-theoretic determination of minimax rates of convergence
-
_, "Information-theoretic determination of minimax rates of convergence," accepted by Ann. Statist., 1999.
-
(1999)
Ann. Statist.
-
-
|