-
1
-
-
84951490428
-
Review of neural networks for speech recognition
-
R. P. Lippmann, "Review of neural networks for speech recognition," Neural Computa., vol. 1, pp. 1-38, 1989.
-
(1989)
Neural Computa.
, vol.1
, pp. 1-38
-
-
Lippmann, R.P.1
-
2
-
-
0000359337
-
Backpropagation applied to handwritten zip code recognition
-
L. C. Yann, B. Boser, J. S. Denker, D. Henderson, R. E. Howard, W. Hubbard, and L. D. Jackel, "Backpropagation applied to handwritten zip code recognition," Neural Computa., vol. 1, pp. 541-551, 1989.
-
(1989)
Neural Computa.
, vol.1
, pp. 541-551
-
-
Yann, L.C.1
Boser, B.2
Denker, J.S.3
Henderson, D.4
Howard, R.E.5
Hubbard, W.6
Jackel, L.D.7
-
3
-
-
0001704198
-
Structural risk minimization for character recognition
-
J. E. Moody, S. J. Hanson, and R. P. Lippmann, Eds. San Mateo, CA: Morgan Kaufmann
-
I. Guyon, V. Vapnik, B. Boser, L. Bottou, and S. A. Solla, "Structural risk minimization for character recognition," in Advances in Neural Information Processing Systems 4, J. E. Moody, S. J. Hanson, and R. P. Lippmann, Eds. San Mateo, CA: Morgan Kaufmann, 1992, pp. 471-479.
-
(1992)
Advances in Neural Information Processing Systems 4
, pp. 471-479
-
-
Guyon, I.1
Vapnik, V.2
Boser, B.3
Bottou, L.4
Solla, S.A.5
-
4
-
-
0002748218
-
How neural nets work
-
D. Z. Anderson, Ed. New York: Amer. Inst. Physics
-
A. Lapedes and R. Farber, "How neural nets work," in Neural Information Processing Systems, D. Z. Anderson, Ed. New York: Amer. Inst. Physics, 1987, pp. 442-456.
-
(1987)
Neural Information Processing Systems
, pp. 442-456
-
-
Lapedes, A.1
Farber, R.2
-
5
-
-
0024861871
-
Approximation by superpositions of a sigmoidal function
-
G. Cybenko, "Approximation by superpositions of a sigmoidal function," Math. Contr., Signals, Syst., vol. 2, pp. 303-314, 1989.
-
(1989)
Math. Contr., Signals, Syst.
, vol.2
, pp. 303-314
-
-
Cybenko, G.1
-
6
-
-
0024866495
-
On the approximate realization of continuous mapping by neural networks
-
K. Funahashi, "On the approximate realization of continuous mapping by neural networks," Neural Networks, vol. 2, pp. 183-192, 1989.
-
(1989)
Neural Networks
, vol.2
, pp. 183-192
-
-
Funahashi, K.1
-
7
-
-
0024880831
-
Multilayer feedforward networks are universal approximators
-
K. Hornik, M. Stinchcombe, and H. White, "Multilayer feedforward networks are universal approximators," Neural Networks, vol. 2, pp. 359-366, 1989.
-
(1989)
Neural Networks
, vol.2
, pp. 359-366
-
-
Hornik, K.1
Stinchcombe, M.2
White, H.3
-
8
-
-
0001024505
-
On the uniform convergence of relative frequencies of events to their probabilities
-
V. N. Vapnik and A. Y. Chervonenkis, "On the uniform convergence of relative frequencies of events to their probabilities," Theory Probability Applicat., vol. 16, pp. 264-280, 1971.
-
(1971)
Theory Probability Applicat.
, vol.16
, pp. 264-280
-
-
Vapnik, V.N.1
Chervonenkis, A.Y.2
-
10
-
-
0040864988
-
Principles of risk minimization for learning theory
-
J. E. Moody, S. J. Hanson, and R. P. Lippmann, Eds. San Mateo, CA: Morgan Kaufmann
-
_, "Principles of risk minimization for learning theory," in Advances in Neural Information Processing Systems 4, J. E. Moody, S. J. Hanson, and R. P. Lippmann, Eds. San Mateo, CA: Morgan Kaufmann, 1992, pp. 831-838.
-
(1992)
Advances in Neural Information Processing Systems 4
, pp. 831-838
-
-
-
11
-
-
0007487086
-
Local algorithms for pattern recognition and dependencies estimation
-
V. Vapnik and L. Bottou, "Local algorithms for pattern recognition and dependencies estimation," Neural Computa., vol. 5, pp. 893-909, 1993.
-
(1993)
Neural Computa.
, vol.5
, pp. 893-909
-
-
Vapnik, V.1
Bottou, L.2
-
12
-
-
0023572536
-
Learning in networks is hard
-
San Diego, CA
-
J. S. Judd, "Learning in networks is hard," in Proc. 1st Int. Conf Neural Networks, San Diego, CA, 1987, pp. 685-692.
-
(1987)
Proc. 1st Int. Conf Neural Networks
, pp. 685-692
-
-
Judd, J.S.1
-
13
-
-
0026453958
-
Training a 3-node neural network is NP-complete
-
A. Blum and R. L. Rivest, "Training a 3-node neural network is NP-complete," Neural Networks, vol. 5, pp. 117-127, 1992.
-
(1992)
Neural Networks
, vol.5
, pp. 117-127
-
-
Blum, A.1
Rivest, R.L.2
-
14
-
-
0000646059
-
Learning internal representations by error propagation
-
D. E. Rumelhart and J. L. McClelland, Eds. Cambridge, MA: MIT Press
-
D. E. Rumelhart, G. E. Hinton, and R. J. Williams, "Learning internal representations by error propagation," in Parallel Distributed Processing, D. E. Rumelhart and J. L. McClelland, Eds. Cambridge, MA: MIT Press, 1986, pp. 318-362.
-
(1986)
Parallel Distributed Processing
, pp. 318-362
-
-
Rumelhart, D.E.1
Hinton, G.E.2
Williams, R.J.3
-
17
-
-
0004161838
-
-
Cambridge, U.K.: Cambridge Univ. Press
-
W. H. Press, B. P. Flannery, S. A. Teukolsky, and W. T. Vetterling, Numerical Recipes in C. Cambridge, U.K.: Cambridge Univ. Press, 1988.
-
(1988)
Numerical Recipes in C
-
-
Press, W.H.1
Flannery, B.P.2
Teukolsky, S.A.3
Vetterling, W.T.4
-
20
-
-
0001259521
-
An algorithm for linear inequalities and its applications
-
Y.-C. Ho and R. L. Kashyap, "An algorithm for linear inequalities and its applications," IEEE Trans. Electron. Computers, vol. EC-14, pp. 683-688, 1965.
-
(1965)
IEEE Trans. Electron. Computers
, vol.EC-14
, pp. 683-688
-
-
Ho, Y.-C.1
Kashyap, R.L.2
-
21
-
-
0000564361
-
A polinomial algorithm in linear programming
-
L. G. Khachiyan, "A polinomial algorithm in linear programming," Sov. Math. Doklady, vol. 20, pp. 191-194, 1979.
-
(1979)
Sov. Math. Doklady
, vol.20
, pp. 191-194
-
-
Khachiyan, L.G.1
-
22
-
-
0026745371
-
Comparison of perceptron training by linear programming and by the perceptron convergence procedure
-
Seattle, WA
-
A. J. Mansfield, "Comparison of perceptron training by linear programming and by the perceptron convergence procedure," in Proc. Int. Joint Conf. Neural Networks, Seattle, WA, 1991, pp. II-25-II-30.
-
(1991)
Proc. Int. Joint Conf. Neural Networks
-
-
Mansfield, A.J.1
-
23
-
-
0025449027
-
Perceptron-based learning algorithms
-
S. I. Gallant, "Perceptron-based learning algorithms," IEEE Trans. Neural Networks, vol. 1, pp. 179-191, 1990.
-
(1990)
IEEE Trans. Neural Networks
, vol.1
, pp. 179-191
-
-
Gallant, S.I.1
-
25
-
-
36149031331
-
Learning in feedforward layered networks: The tiling algorithm
-
M. Mézard and J.-P. Nadal, "Learning in feedforward layered networks: The tiling algorithm," J. Phys. A, vol. 22, pp. 2191-2203, 1989.
-
(1989)
J. Phys. A
, vol.22
, pp. 2191-2203
-
-
Mézard, M.1
Nadal, J.-P.2
-
26
-
-
0000783575
-
The upstart algorithm: A method for constructing and training feedforward neural networks
-
M. Frean, "The upstart algorithm: A method for constructing and training feedforward neural networks," Neural Computa., vol. 2, pp. 198-209, 1990.
-
(1990)
Neural Computa.
, vol.2
, pp. 198-209
-
-
Frean, M.1
-
27
-
-
0029306954
-
On sequential construction of binary neural networks
-
M. Muselli, "On sequential construction of binary neural networks," IEEE Trans. Neural Networks, vol. 6, pp. 678-690, 1995.
-
(1995)
IEEE Trans. Neural Networks
, vol.6
, pp. 678-690
-
-
Muselli, M.1
-
28
-
-
0030590932
-
Simple expressions for success run distributions in Bernoulli trials
-
_, "Simple expressions for success run distributions in Bernoulli trials," to appear in Statist. Probability Lett., 1996.
-
(1996)
Statist. Probability Lett.
-
-
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