First and Second-Order Methods for Learning: between Steepest Descent and Newton's Method (1992)

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by Roberto Battiti
Venue:Neural Computation
Citations:142 - 6 self

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132 Efficient BackProp – Yann Lecun, Leon Bottou, Genevieve B. Orr, Klaus-Robert Müller - 1998
13 Efficient Training of Feed-Forward Neural Networks – Martin Møller - 1997
by – Arhus Universitet - 1997
505 On the limited memory BFGS method for large scale optimization – Dong C. Liu, Jorge Nocedal, Dong C. Liu, Jorge Nocedal - 1989
1332 A training algorithm for optimal margin classifiers – Bernhard E. Boser, et al. - 1992
6 Deterministic Nonmonotone Strategies for Effective Training of Multilayer Perceptrons – Vassilis P. Plagianakos, George D. Magoulas, Michael N. Vrahatis
762 Gradient-based learning applied to document recognition – Yann Lecun, Léon Bottou, Yoshua Bengio, Patrick Haffner - 1998
665 A Direct Adaptive Method for Faster Backpropagation Learning: The RPROP Algorithm – Martin Riedmiller, Heinrich Braun - 1993
872 A tutorial on learning with Bayesian networks – David Heckerman - 1995