Reply to determining structural identifiability of parameter learning machines

Cole, Diana J. (2016) Reply to determining structural identifiability of parameter learning machines. Neurocomputing, 173 . pp. 2039-2040. (doi:10.1016/j.neucom.2015.09.016) (KAR id:50580)

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Official URL: https://doi.org/10.1016/j.neucom.2015.09.016

Abstract

The paper Ran and Hu (2014, Neurocomputing) examines identifiability and parameter redundancy in classes of models used in machine learning. This note discusses the results on global identifiability and also clarifies that the paper's results on parameter redundancy already exist in the paper Cole et al. (2010, Mathematical Biosciences).

Item Type:	Article
DOI/Identification number:	10.1016/j.neucom.2015.09.016
Subjects:	Q Science > QA Mathematics (inc Computing science)
Divisions:	Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Mathematics, Statistics and Actuarial Science
Depositing User:	Diana Cole
Date Deposited:	23 Sep 2015 08:32 UTC
Last Modified:	09 Mar 2023 11:34 UTC
Resource URI:	https://kar.kent.ac.uk/id/eprint/50580 (The current URI for this page, for reference purposes)
Cole, Diana J.:	https://orcid.org/0000-0002-8109-4832

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