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On Spectral Windows In Supervised Learning From Data

Gnecco, Giorgio and Sanguineti, Marcello On Spectral Windows In Supervised Learning From Data. Information Processing Letters, 110 (23). 1031 - 1036. ISSN 0020-0190 (2010)

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For Tikhonov regularization in supervised learning from data, the effect on the regularized solution of a joint perturbation of the regression function and the data is investigated. Spectral windows in the finite-sample and population cases are compared via probabilistic estimates of the differences between regularized solutions.

Item Type: Article
Identification Number: 10.1016/j.ipl.2010.08.011
Uncontrolled Keywords: Analysis of algorithms; Learning from data; Regularization; Suboptimal solutions; Empirical error functionals; Probabilistic estimates
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Research Area: Computer Science and Applications
Depositing User: Ms T. Iannizzi
Date Deposited: 17 Sep 2013 08:23
Last Modified: 17 Sep 2013 08:23
URI: http://eprints.imtlucca.it/id/eprint/1758

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