Share Email Print
cover

Proceedings Paper

Leverage estimation for multi-output neural networks
Author(s): Tomasz Grel; Stanislaw Jankowski
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper 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.

Paper Details

Date Published: 28 September 2016
PDF: 6 pages
Proc. SPIE 10031, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2016, 100315D (28 September 2016); doi: 10.1117/12.2249699
Show Author Affiliations
Tomasz Grel, Warsaw Univ. of Technology (Poland)
Stanislaw Jankowski, Warsaw Univ. of Technology (Poland)


Published in SPIE Proceedings Vol. 10031:
Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2016
Ryszard S. Romaniuk, Editor(s)

© SPIE. Terms of Use
Back to Top