Slope Centering: Making Shortcut Weights Effective
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[1] B. Widrow,et al. Stationary and nonstationary learning characteristics of the LMS adaptive filter , 1976, Proceedings of the IEEE.
[2] Alan S. Lapedes,et al. A self-optimizing, nonsymmetrical neural net for content addressable memory and pattern recognition , 1986 .
[3] Roberto Battiti,et al. Accelerated Backpropagation Learning: Two Optimization Methods , 1989, Complex Syst..
[4] Kanter,et al. Eigenvalues of covariance matrices: Application to neural-network learning. , 1991, Physical review letters.
[5] Francesco Palmieri,et al. Optimal filtering algorithms for fast learning in feedforward neural networks , 1992, Neural Networks.
[6] Roberto Battiti,et al. First- and Second-Order Methods for Learning: Between Steepest Descent and Newton's Method , 1992, Neural Computation.
[7] Michael Finke,et al. Estimating A-Posteriori Probabilities using Stochastic Network Models , 1993 .
[8] Terrence J. Sejnowski,et al. Tempering Backpropagation Networks: Not All Weights are Created Equal , 1995, NIPS.
[9] Ralph Neuneier,et al. How to Train Neural Networks , 1996, Neural Networks: Tricks of the Trade.
[10] Jürgen Schmidhuber,et al. Unsupervised Coding with LOCOCODE , 1997, ICANN.
[11] J. van Leeuwen,et al. Neural Networks: Tricks of the Trade , 2002, Lecture Notes in Computer Science.