-
1
-
-
85153936556
-
Learning many related tasks at the same time with backpropagation
-
G. Tesauro, D. Touretzky, and T. Leen, editors, The MIT Press
-
R. Caruana. Learning many related tasks at the same time with backpropagation. In G. Tesauro, D. Touretzky, and T. Leen, editors, Advances in Neural Information Processing Systems 7, pages 657-664. The MIT Press, 1995.
-
(1995)
Advances in Neural Information Processing Systems
, vol.7
, pp. 657-664
-
-
Caruana, R.1
-
2
-
-
0001793307
-
The evolution of learning: An experiment in genetic connectionism
-
D. S. Touretzky, J. L. Elman, T. J. Sejnowski, and G. E. Hinton, editors, Morgan Kaufmann
-
D. Chalmers. The evolution of learning: An experiment in genetic connectionism. In D. S. Touretzky, J. L. Elman, T. J. Sejnowski, and G. E. Hinton, editors, Proc. of the 1990 Con. Models Summer School, pages 81-90. Morgan Kaufmann, 1990.
-
(1990)
Proc. Of the 1990 Con. Models Summer School
, pp. 81-90
-
-
Chalmers, D.1
-
5
-
-
0004262806
-
-
Technical Report CRL 8801, Center for Researchin Language, University of California, San Diego
-
J. L. Elman. Finding structure in time. Technical Report CRL 8801, Center for Researchin Language, University of California, San Diego, 1988.
-
(1988)
Finding Structure in Time
-
-
Elman, J.L.1
-
6
-
-
0024082469
-
Quantifying inductive bias: AI learning algorithms and Valiant’s learning framework
-
D. Haussler. Quantifying inductive bias: AI learning algorithms and Valiant’s learning framework. Artificial Intelligence, 36:177-221, 1988.
-
(1988)
Artificial Intelligence
, vol.36
, pp. 177-221
-
-
Haussler, D.1
-
12
-
-
0031186687
-
Shifting inductive bias with successstory algorithm, adaptive levin search, and incremental self-improvement
-
J. Schmidhuber, J. Zhao, and M. Wiering. Shifting inductive bias with successstory algorithm, adaptive levin search, and incremental self-improvement. Machine Learning, 28:105-130, 1997.
-
(1997)
Machine Learning
, vol.28
, pp. 105-130
-
-
Schmidhuber, J.1
Zhao, J.2
Wiering, M.3
-
15
-
-
0001164493
-
Shift of bias for inductive concept learning
-
R. Michalski, J. Carbonell, and T. Mitchell, editors, Morgan Kaufmann
-
P. Utgoff. Shift of bias for inductive concept learning. In R. Michalski, J. Carbonell, and T. Mitchell, editors, Machine Learning, volume 2. Morgan Kaufmann, 1986.
-
(1986)
Machine Learning
, vol.2
-
-
Utgoff, P.1
-
16
-
-
0000903748
-
Generalization of backpropagation withapplication to a recurrent gas market model
-
P. J. Werbos. Generalization of backpropagation withapplication to a recurrent gas market model. Neural Networks, 1, 1988.
-
(1988)
Neural Networks
, vol.1
-
-
Werbos, P.J.1
-
18
-
-
0001765578
-
Gradient-based learning algorithms for recurrent networks and their computational complexity
-
Y. Chauvin and D. E. Rumelhart, editors
-
R. J. Williams and D. Zipser. Gradient-based learning algorithms for recurrent networks and their computational complexity. In Y. Chauvin and D. E. Rumelhart, editors, Back-propagation: Theory, Architectures and Applications. Hillsdale, 1992.
-
(1992)
Back-Propagation: Theory, Architectures and Applications. Hillsdale
-
-
Williams, R.J.1
Zipser, D.2
-
19
-
-
0033100384
-
Fixed-weight on-line learning
-
A. S. Younger, P. R. Conwell, and N. E. Cotter. Fixed-weight on-line learning. IEEE-Transactions on Neural Networks, 10(2):272-283, 1999.
-
(1999)
Ieee-Transactions on Neural Networks
, vol.10
, Issue.2
, pp. 272-283
-
-
Younger, A.S.1
Conwell, P.R.2
Cotter, N.E.3
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