Reply to determining structural identifiability of parameter learning machines
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- 作者：Diana J. Cole d.j.cole@kent.ac.uk" class="auth_mail" title="E-mail the corresponding author Author Vitae
- 关键词：Derivative matrix ; Exhaustive summaries ; Global identifiability ; Jacobian matrix ; Local identifiability ; Parameter redundancy
- 刊名：Neurocomputing
- 出版年：2016
- 出版时间：15 January 2016
- 年：2016
- 卷：173
- 期：part_P3
- 页码：2039-2040
- 全文大小：235 K
文摘
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).