Efficient Calculation of the Gauss-Newton Approximation of the Hessian Matrix in Neural Networks

DOI10.1162/NECO_a_00248zbMath1238.68122OpenAlexW2097972286WikidataQ50978329 ScholiaQ50978329MaRDI QIDQ2885106

Eduardo Alonso, Michael Fairbank

Publication date: 21 May 2012

Published in: Neural Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1162/neco_a_00248

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)

Cites Work

• Fast Curvature Matrix-Vector Products for Second-Order Gradient Descent
• An Algorithm for Least-Squares Estimation of Nonlinear Parameters
• Learning representations by back-propagating errors
• A method for the solution of certain non-linear problems in least squares
• Unnamed Item

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