-
1
-
-
0000646059
-
Learning internal representations by error propagation
-
D. E. Rumelhart, G. E. Hinton, and R. J. Williams, “Learning internal representations by error propagation,” in Parallel Distributed Processing, J. L. McClelland and D. E. Rumelhart, Eds. Cambridge, MA: MIT Press, 1986.
-
(1986)
Parallel Distributed Processing
-
-
Rumelhart, D.E.1
Hinton, G.E.2
Williams, R.J.3
-
2
-
-
0025490985
-
Networks for approximation and learning
-
Sept.
-
T. Poggio and F. Girosi, “Networks for approximation and learning,” Proc. IEEE, vol. 78, pp. 1481-1497, Sept. 1990.
-
(1990)
Proc. IEEE
, vol.78
, pp. 1481-1497
-
-
Poggio, T.1
Girosi, F.2
-
3
-
-
0000672424
-
Fast learning in networks of locally-tuned processing units
-
J. Moody and C. J. Darken, “Fast learning in networks of locally-tuned processing units,” Neural Computation, vol. 1, pp. 281-294, 1989.
-
(1989)
Neural Computation
, vol.1
, pp. 281-294
-
-
Moody, J.1
Darken, C.J.2
-
4
-
-
0001683814
-
Layered neural networks with Gaussian hidden units as universal approximations
-
E. J. Hartman, J. D. Keeler, and J. M. Kowalski, “Layered neural networks with Gaussian hidden units as universal approximations,” Neural Computation, vol. 2, pp. 210-215, 1990.
-
(1990)
Neural Computation
, vol.2
, pp. 210-215
-
-
Hartman, E.J.1
Keeler, J.D.2
Kowalski, J.M.3
-
6
-
-
84941609186
-
Regularized neural networks: Some convergence rate results
-
V. Corradi and H. White, “Regularized neural networks: Some convergence rate results,” preprint, 1993.
-
(1993)
preprint
-
-
Corradi, V.1
White, H.2
-
7
-
-
84941609187
-
Rates of convergence for radial basis functions and neural networks
-
F. Girosi and G. Anzellotti, “Rates of convergence for radial basis functions and neural networks,” preprint, 1993.
-
(1993)
preprint
-
-
Girosi, F.1
Anzellotti, G.2
-
8
-
-
84941609188
-
On radial basis function nets and kernel regression: Statistical consistency, convergence rates and receptive field size
-
L. Xu, A. Krzyzak, and A. Yuille, “On radial basis function nets and kernel regression: Statistical consistency, convergence rates and receptive field size,” preprint, 1993.
-
(1993)
preprint
-
-
Xu, L.1
Krzyzak, A.2
Yuille, A.3
-
10
-
-
0027151141
-
Analysis and synthesis of feedforward neural networks using discrete affine wavelet transformations
-
Jan.
-
Y. C. Pati and P. S. Krishnaprasad, “Analysis and synthesis of feedforward neural networks using discrete affine wavelet transformations,” IEEE Trans. Neural Net., vol. 4, Jan. 1993.
-
(1993)
IEEE Trans. Neural Net.
, vol.4
-
-
Pati, Y.C.1
Krishnaprasad, P.S.2
-
11
-
-
84943237601
-
Wavelet neural networks and receptive field partitioning
-
T. Boubez and R. L. Peskin, “Wavelet neural networks and receptive field partitioning,” reprint, 1993.
-
(1993)
reprint
-
-
Boubez, T.1
Peskin, R.L.2
-
12
-
-
84943237601
-
Wavelet neural networks and receptive field partitioning
-
T. Boubez, “Wavelet neural networks and receptive field partitioning,” reprint, 1993.
-
(1993)
reprint
-
-
Boubez, T.1
-
15
-
-
0024700097
-
A theory for multiresolution signal decomposition: The wavelet transform
-
July
-
S. Mallat, “A theory for multiresolution signal decomposition: The wavelet transform,” IEEE Trans. Pattern Anal. Machine Intell, vol. 11, pp. 674-693, July 1989.
-
(1989)
IEEE Trans. Pattern Anal. Machine Intell
, vol.11
, pp. 674-693
-
-
Mallat, S.1
-
17
-
-
0026624134
-
Nonseparable multidimensional perfect reconstruction banks and wavelet for Rn
-
Mar.
-
J. Kovacevic and M. Vetterli, “Nonseparable multidimensional perfect reconstruction banks and wavelet for Rn,” IEEE Trans. Info. Theory, vol. 38, 533-555, Mar. 1992.
-
(1992)
IEEE Trans. Info. Theory
, vol.38
-
-
Kovacevic, J.1
Vetterli, M.2
-
18
-
-
33845232504
-
Approximation of the delta function by wavelets
-
Dec.
-
G. G. Walter, “Approximation of the delta function by wavelets,” J. Approx. Theory, vol. 71, pp. 329-343, Dec. 1992.
-
(1992)
J. Approx. Theory
, vol.71
, pp. 329-343
-
-
Walter, G.G.1
-
19
-
-
84941609190
-
Gibbs’; phenomenon in wavelets and how to avoid it
-
H. T. Shim, “Gibbs’; phenomenon in wavelets and how to avoid it,” preprint, 1993.
-
(1993)
preprint
-
-
Shim, H.T.1
-
20
-
-
0000186542
-
Wavelet analysis and signal processing
-
R. Coifman, Y. Meyer, and M. V. Wickerhauser, “Wavelet analysis and signal processing,” in Wavelets and Their Applications, M. B. Ruskai, et al, Ed. Boston, MA: Jones & Bartlett, 1992.
-
(1992)
Wavelets and Their Applications
-
-
Coifman, R.1
Meyer, Y.2
Wickerhauser, M.V.3
-
21
-
-
84941609191
-
Pointwise convergence of wavelet expansions
-
G. G. Walter, “Pointwise convergence of wavelet expansions,”J. Approx. Theory, 1993.
-
(1993)
J. Approx. Theory
-
-
Walter, G.G.1
-
25
-
-
0028428443
-
Regression modeling in back-propagation and projection pursuit learning
-
May
-
J.-N. Hwang, S.-R. Lay, M. Maechler, R. D. Martin, and J. Schimert, “Regression modeling in back-propagation and projection pursuit learning,” IEEE Trans. Neural Net., vol. 5, pp. 342-353, May 1994.
-
(1994)
IEEE Trans. Neural Net.
, vol.5
, pp. 342-353
-
-
Hwang, J.-N.1
Lay, S.-R.2
Maechler, M.3
Martin, R.D.4
Schimert, J.5
-
27
-
-
0002895908
-
Pointwise convergence of wavelet expansions
-
S. E. Kelly, M. A. Kon, and L. A. Raphael, “Pointwise convergence of wavelet expansions,” Bull. AMS, vol. 30, pp. 87-94, 1994.
-
(1994)
Bull. AMS
, vol.30
, pp. 87-94
-
-
Kelly, S.E.1
Kon, M.A.2
Raphael, L.A.3
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