Fast Curvature Matrix-Vector Products
暂无分享,去创建一个
[1] N. Schraudolph. Fast Second-Order Gradient Descent via O(n) Curvature Matrix-Vector Products , 2000 .
[2] Sharad Singhal,et al. Training Multilayer Perceptrons with the Extende Kalman Algorithm , 1988, NIPS.
[3] Mance E. Harmon,et al. Multi-Agent Residual Advantage Learning with General Function Approximation. , 1996 .
[4] Nicol N. Schraudolph. Online Learning with Adaptive Local Step Sizes , 1999 .
[5] Nicol N. Schraudolph,et al. A Fast, Compact Approximation of the Exponential Function , 1999, Neural Computation.
[6] Manfred K. Warmuth,et al. Additive versus exponentiated gradient updates for linear prediction , 1995, STOC '95.
[7] Nicol N. Schraudolph,et al. Local Gain Adaptation in Stochastic Gradient Descent , 1999 .
[8] Nicol N. Schraudolph,et al. Online Independent Component Analysis with Local Learning Rate Adaptation , 1999, NIPS.
[9] Christopher M. Bishop,et al. Neural networks for pattern recognition , 1995 .
[10] Shun-ichi Amari,et al. Differential-geometrical methods in statistics , 1985 .
[11] Barak A. Pearlmutter. Fast Exact Multiplication by the Hessian , 1994, Neural Computation.
[12] Shun-ichi Amari,et al. Natural Gradient Works Efficiently in Learning , 1998, Neural Computation.