International Journal of Nonlinear Analysis and Applications

Training analysis of optimization models in machine learning

Document Type : Research Paper

Authors

Department of Mathematics Science, Ministry of Education, Babylon, Iraq

Abstract

Machine learning is fast evolving, with numerous theoretical advances and applications in a variety of domains. In reality, most machine learning algorithms are based on optimization issues. This interaction is also explored in the special topic on machine learning and large-scale optimization. Furthermore, machine learning optimization issues have several unique characteristics that are rarely seen in other optimization contexts. Aside from that, the notions of classical optimization vs machine learning will be discussed. Finally, this study will give an outline of these particular aspects of machine learning optimization.

Keywords

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International Journal of Nonlinear Analysis and Applications
Volume 12, Issue 2
November 2021
Pages 1453-1461
  • Receive Date: 06 March 2021
  • Revise Date: 19 May 2021
  • Accept Date: 12 June 2021
  • First Publish Date: 06 July 2021