Exhaustive Learning
暂无分享,去创建一个
Vijay K. Samalam | D. B. Schwartz | Sara A. Solla | John S. Denker | Daniel B. Schwartz | J. Denker | S. Solla | V. Samalam
[1] Lawrence D. Jackel,et al. Large Automatic Learning, Rule Extraction, and Generalization , 1987, Complex Syst..
[2] P. Carnevali,et al. Exhaustive Thermodynamical Analysis of Boolean Learning Networks , 1987 .
[3] E. Gardner. The space of interactions in neural network models , 1988 .
[4] Luc Devroye,et al. Automatic Pattern Recognition: A Study of the Probability of Error , 1988, IEEE Trans. Pattern Anal. Mach. Intell..
[5] Gerald Tesauro,et al. Scaling and Generalization in Neural Networks: A Case Study , 1988, NIPS.
[6] David Haussler,et al. What Size Net Gives Valid Generalization? , 1989, Neural Computation.
[7] Naftali Tishby,et al. Consistent inference of probabilities in layered networks: predictions and generalizations , 1989, International 1989 Joint Conference on Neural Networks.
[8] D. B. Schwartz,et al. A Study of Learning and Generalization by Exhaustive Analysis , 1990 .
[9] Sompolinsky,et al. Statistical mechanics of learning from examples. , 1992, Physical review. A, Atomic, molecular, and optical physics.
[10] Solla,et al. Learning in linear neural networks: The validity of the annealed approximation. , 1992, Physical review. A, Atomic, molecular, and optical physics.
[11] Elie Bienenstock,et al. Neural Networks and the Bias/Variance Dilemma , 1992, Neural Computation.
[12] Shun-ichi Amari,et al. Four Types of Learning Curves , 1992, Neural Computation.
[13] Gerald Tesauro,et al. How Tight Are the Vapnik-Chervonenkis Bounds? , 1992, Neural Computation.