Structural learning with forgetting
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[1] Alan F. Murray,et al. IEEE International Conference on Neural Networks , 1997 .
[2] Masumi Ishikawa,et al. Learning of Modular Structured Networks , 1995, Artif. Intell..
[3] David Mackay,et al. Probable networks and plausible predictions - a review of practical Bayesian methods for supervised neural networks , 1995 .
[4] Ronald J. Williams,et al. Gradient-based learning algorithms for recurrent networks and their computational complexity , 1995 .
[5] Shun-ichi Amari,et al. Network information criterion-determining the number of hidden units for an artificial neural network model , 1994, IEEE Trans. Neural Networks.
[6] Masumi Ishikawa. Structural learning in neural networks , 1994 .
[7] M. Ishikawa. Structural learning and its applications to rule extraction , 1994, Proceedings of 1994 IEEE International Conference on Neural Networks (ICNN'94).
[8] Russell Reed,et al. Pruning algorithms-a survey , 1993, IEEE Trans. Neural Networks.
[9] Li-Min Fu,et al. Knowledge-based connectionism for revising domain theories , 1993, IEEE Trans. Syst. Man Cybern..
[10] Raymond J. Mooney,et al. Combining Connectionist and Symbolic Learning to Refine Certainty Factor Rule Bases , 1993 .
[11] M. Ishikawa,et al. A structural learning of neural networks based on an entropy criterion , 1992 .
[12] John E. Moody,et al. The Effective Number of Parameters: An Analysis of Generalization and Regularization in Nonlinear Learning Systems , 1991, NIPS.
[13] A. Kowalczyk,et al. Discovering production rules with higher order neural networks: a case study. II , 1991, [Proceedings] 1991 IEEE International Joint Conference on Neural Networks.
[14] Adam Kowalczyk,et al. Discovering Production Rules with Higher Order Neural Networks , 1991, ML.
[15] Wray L. Buntine,et al. Bayesian Back-Propagation , 1991, Complex Syst..
[16] D. B. Fogel,et al. AN INFORMATION CRITERION FOR OPTIMAL NEURAL NETWORK SELECTION , 1990, 1990 Conference Record Twenty-Fourth Asilomar Conference on Signals, Systems and Computers, 1990..
[17] M. Ishikawa,et al. A structural learning algorithm with forgetting of link weights , 1989, International 1989 Joint Conference on Neural Networks.
[18] Michael C. Mozer,et al. Using Relevance to Reduce Network Size Automatically , 1989 .
[19] Yann LeCun,et al. Optimal Brain Damage , 1989, NIPS.
[20] Christian Lebiere,et al. The Cascade-Correlation Learning Architecture , 1989, NIPS.
[21] Geoffrey E. Hinton,et al. Experiments on Learning by Back Propagation. , 1986 .
[22] H. Akaike. A new look at the statistical model identification , 1974 .
[23] R. Fisher. THE USE OF MULTIPLE MEASUREMENTS IN TAXONOMIC PROBLEMS , 1936 .