Statistical Theory of Overtraining - Is Cross-Validation Asymptotically Effective?
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Klaus-Robert Müller | Shun-ichi Amari | Noboru Murata | Michael Finke | Howard Hua Yang | S. Amari | K. Müller | H. Yang | N. Murata | M. Finke
[1] Physical Review , 1965, Nature.
[2] M. V. Rossum,et al. In Neural Computation , 2022 .
[3] Yann LeCun,et al. Optimal Brain Damage , 1989, NIPS.
[4] John E. Moody,et al. The Effective Number of Parameters: An Analysis of Generalization and Regularization in Nonlinear Learning Systems , 1991, NIPS.
[5] Shun-ichi Amari,et al. Statistical Theory of Learning Curves under Entropic Loss Criterion , 1993, Neural Computation.
[6] 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.
[7] H. Sebastian Seung,et al. On-line Learning of Dichotomies , 1994, NIPS.
[8] J. Stephen Judd,et al. Optimal stopping and effective machine complexity in learning , 1993, Proceedings of 1995 IEEE International Symposium on Information Theory.
[9] Saad,et al. Exact solution for on-line learning in multilayer neural networks. , 1995, Physical review letters.
[10] M.H. Hassoun,et al. Fundamentals of Artificial Neural Networks , 1996, Proceedings of the IEEE.
[11] Klaus Schulten,et al. A Numerical Study on Learning Curves in Stochastic Multilayer Feedforward Networks , 1996, Neural Computation.