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. (Full text available)

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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
Subjects: Q Science > QA Mathematics (inc Computing science)
Divisions: Faculties > Sciences > School of Mathematics Statistics and Actuarial Science
Faculties > Sciences > School of Mathematics Statistics and Actuarial Science > Statistics
Depositing User: Diana Cole
Date Deposited: 23 Sep 2015 08:32 UTC
Last Modified: 10 Dec 2015 12:36 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/50580 (The current URI for this page, for reference purposes)
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