-
2
-
-
0001160588
-
What size net gives valid generalization?
-
E. B. BAUM and D. HAUSSLER (1989) What size net gives valid generalization?, Neural Computation 1, pp. 151-160.
-
(1989)
Neural Computation
, vol.1
, pp. 151-160
-
-
BAUM, E. B.1
HAUSSLER, D.2
-
3
-
-
84968516134
-
On the theory of computation and complexity over the real numbers: NP-completeness, recursive functions and universal machines
-
L. BLUM, M. SHUB and S. SMALE (1989) On the theory of computation and complexity over the real numbers: NP-completeness, recursive functions and universal machines, Bulletin of the AMS 21, pp. 1-46.
-
(1989)
Bulletin of the AMS
, vol.21
, pp. 1-46
-
-
BLUM, L.1
SHUB, M.2
SMALE, S.3
-
4
-
-
0024750852
-
Leamabilily and the Vapnik-Chervonenkis dimension
-
A. BLUMER, A. EHRENFEUCHT, D. HAUSSLER, and M. WARMUTH (1989) Leamabilily and the Vapnik-Chervonenkis dimension, J. of the ACM 36, pp. 929-965.
-
(1989)
J. of the ACM
, vol.36
, pp. 929-965
-
-
BLUMER, A.1
EHRENFEUCHT, A.2
HAUSSLER, D.3
WARMUTH, M.4
-
5
-
-
0013995259
-
Capacity problems for linear machines
-
L. Kanal ed., Thompson Book Co
-
T. M. COVER (1988) Capacity problems for linear machines, in: Pattern Recognition, L. Kanal ed., Thompson Book Co., pp. 283-289.
-
(1988)
Pattern Recognition
, pp. 283-289
-
-
COVER, T. M.1
-
6
-
-
0029256399
-
Bounding the Vapnik-Chervonenkis dimension of concept classes parametrized by real numbers
-
P. GOLDBERG and M. JERRUM (1995) Bounding the Vapnik-Chervonenkis dimension of concept classes parametrized by real numbers, Machine Learning 18, pp. 131-148.
-
(1995)
Machine Learning
, vol.18
, pp. 131-148
-
-
GOLDBERG, P.1
JERRUM, M.2
-
8
-
-
0027224339
-
Bounds for the computational power and learning complexity of analog neural nets
-
W. MAASS (1993) Bounds for the computational power and learning complexity of analog neural nets, in Proc. of the 25th ACM Symp. Theory of Computing, pp. 335-344.
-
(1993)
Proc. of the 25th ACM Symp. Theory of Computing
, pp. 335-344
-
-
MAASS, W.1
-
9
-
-
0011900550
-
Perspectives of current research about the complexity of learning in neural nets
-
P. Roychowd-hury, K. Y. Siu, and A. Orlitsky, editors, Kluwer, Boston
-
W. MAASS (1994) Perspectives of current research about the complexity of learning in neural nets, in Theoretical Advances in Neural Computation and Learning, V. P. Roychowd-hury, K. Y. Siu, and A. Orlitsky, editors, Kluwer, Boston, pp. 295-336.
-
(1994)
Theoretical Advances in Neural Computation and Learning
, pp. 295-336
-
-
MAASS, W.1
-
11
-
-
0343295539
-
Sigmoids distinguish better than Heavisides
-
E. D. SONTAG (1989) Sigmoids distinguish better than Heavisides, Neural Computation 1, pp. 470-472.
-
(1989)
Neural Computation
, vol.1
, pp. 470-472
-
-
SONTAG, E. D.1
-
12
-
-
0026904597
-
Feedforward nets for interpolation and classification
-
E. D. SONTAG (1992) Feedforward nets for interpolation and classification, J. Comp. Syst. Sci 45, pp. 20-48.
-
(1992)
J. Comp. Syst. Sci
, vol.45
, pp. 20-48
-
-
SONTAG, E. D.1
-
13
-
-
0021518106
-
A theory of the learnable
-
L. G. VALIANT (1984) A theory of the learnable, Comm. of the ACM 27, pp. 1134-1142
-
(1984)
Comm. of the ACM
, vol.27
, pp. 1134-1142
-
-
VALIANT, L. G.1
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