-
1
-
-
0003283879
-
Training connectionist networks with queries and selective sampling
-
Los Altos, CA: Morgan Kaufman
-
L. Atlas et al., “Training connectionist networks with queries and selective sampling,” in Advances in Neural Information Processing Systems. Los Altos, CA: Morgan Kaufman, 1990, pp. 566-573.
-
(1990)
Advances in Neural Information Processing Systems.
, pp. 566-573
-
-
Atlas, L.1
-
2
-
-
0018995536
-
Locally trained piecewise linear classifiers
-
Mar.
-
J. Sklansky and L. Michelotti, “Locally trained piecewise linear classifiers,” IEEE Trans. PAMI, vol. 2, no. 2, pp. 101-111, Mar. 1980.
-
(1980)
IEEE Trans. PAMI
, vol.2
, Issue.2
, pp. 101-111
-
-
Sklansky, J.1
Michelotti, L.2
-
3
-
-
0025536868
-
The influence of training sets on generalization in feedforward neural networks
-
San Diego, CA June
-
M. Wann, T. Hediger, and N. N. Greenbaun, “The influence of training sets on generalization in feedforward neural networks, “in Proc. Int. Joint Conf. Neural Networks, San Diego, CA, June 1990, pp. 137-142.
-
(1990)
Proc. Int. Joint Conf. Neural Networks
, pp. 137-142
-
-
Wann, M.1
Hediger, T.2
Greenbaun, N.N.3
-
4
-
-
0000646059
-
Learning internal representations by error propagation
-
Cambridge, MA: M.I.T. Press
-
D. E. Rumelhart, G. E. Hinton, and R. J. Williams, “Learning internal representations by error propagation, “Parallel Distributed Processing (PDP): Exploration in the Microstructure of Cognition (Vol 1). Cambridge, MA: M.I.T. Press, 1986, chap. 8.
-
(1986)
Parallel Distributed Processing (PDP): Exploration in the Microstructure of Cognition
, vol.1
, Issue.8
-
-
Rumelhart, D.E.1
Hinton, G.E.2
Williams, R.J.3
-
5
-
-
0003529238
-
Beyond regression: New tools for prediction and analysis in the behavior science
-
Ph.D. thesis, Harvard University, Cambridge, MA
-
P. J. Werbos, “Beyond regression: New tools for prediction and analysis in the behavior science,” Ph.D. thesis, Harvard University, Cambridge, MA, 1974.
-
(1974)
-
-
Werbos, P.J.1
-
7
-
-
0021518106
-
A theory of the learnable
-
Nov.
-
L. G. Valiant, “A theory of the learnable,” Commun. ACM, vol. 27, pp. 1134-1142, Nov. 1984.
-
(1984)
Commun. ACM
, vol.27
, pp. 1134-1142
-
-
Valiant, L.G.1
-
8
-
-
0025594176
-
Classification boundaries and gradients of trained multilayer perceptrons
-
New Orleans, LA, May
-
J. N. Hwang, J. J. Choi, S. Oh, and R. J. Marks II, “Classification boundaries and gradients of trained multilayer perceptrons,” in Proc. Int. Symp. Circuits Syst. New Orleans, LA, May 1990, pp. 3256-3259.
-
(1990)
Proc. Int. Symp. Circuits Syst.
, pp. 3256-3259
-
-
Hwang, J.N.1
Choi, J.J.2
Oh, S.3
Marks, R.J.4
-
9
-
-
0025546367
-
Query learning based on boundary search and gradient computation of trained multilayer perceptrons
-
San Diego, CA, June
-
—, “Query learning based on boundary search and gradient computation of trained multilayer perceptrons,” in Proc. Int. Joint Conf. Neural Networks, San Diego, CA, June 1990, pp. III 57-62.
-
(1990)
Proc. Int. Joint Conf. Neural Networks
, pp. 57-62
-
-
-
10
-
-
0021641739
-
Power system security assessment
-
Dec.
-
L. H. Fink, “Power system security assessment,” in Proc. IEEE Conf. Decision Control, pp. 478-480, Dec. 1984.
-
(1984)
Proc. IEEE Conf. Decision Control
, pp. 478-480
-
-
Fink, L.H.1
-
12
-
-
0024913773
-
Artificial neural networks for power system static security assessment
-
Portland, OR, May
-
R. J. Marks II, M. J. Damborg, M. A. El-Sharkawi, L. E. Atlas, M. Aggoune, and D. A. Cohn, “Artificial neural networks for power system static security assessment,” in Proc. Int. Symp. Circuits Syst. Portland, OR, May 1989, pp. 490-494.
-
(1989)
Proc. Int. Symp. Circuits Syst.
, pp. 490-494
-
-
Marks, R.J.1
Damborg, M.J.2
El-Sharkawi, M.A.3
Atlas, L.E.4
Aggoune, M.5
Cohn, D.A.6
-
13
-
-
84914405497
-
Optimal power flow solutions
-
Oct.
-
H. W. Dommel and T. F. Tinney, “Optimal power flow solutions,” IEEE Trans. PAS, vol. 87, pp. 1866-1876, Oct. 1968.
-
(1968)
IEEE Trans. PAS
, vol.87
, pp. 1866-1876
-
-
Dommel, H.W.1
Tinney, T.F.2
|