Leverage estimation for multi-output neural networks

Tomasz Grel; Stanislaw Jankowski

doi:10.1117/12.2249699

28 September 2016 Leverage estimation for multi-output neural networks

Tomasz Grel, Stanislaw Jankowski

Proceedings Volume 10031, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2016; 100315D (2016) https://doi.org/10.1117/12.2249699
Event: Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2016, 2016, Wilga, Poland

Abstract

The article deals with the problem of computing the leverages for multi-output neural networks. The leverages can be subsequently used for determining which learning examples have the strongest influence on the model. Therefore computing them may provide researchers with important insights about the constructed model. More specifically they can be used to detect over fitting. A step by step algorithm for computing the Jacobian matrix and the leverages is presented, along with an example application to a synthetic problem.

Citation Download Citation

Tomasz Grel and Stanislaw Jankowski "Leverage estimation for multi-output neural networks", Proc. SPIE 10031, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2016, 100315D (28 September 2016); https://doi.org/10.1117/12.2249699

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