Training analysis of optimization models in machine learning

	Training analysis of optimization models in machine learning
International Journal of Nonlinear Analysis and Applications
دوره 12، شماره 2، بهمن 2021، صفحه 1453-1461 اصل مقاله (264.7 K)
نوع مقاله: Research Paper
شناسه دیجیتال (DOI): 10.22075/ijnaa.2021.5261
نویسندگان
Ahmed Alridha^* ؛ Fadhil Abdalhasan Wahbi؛ Mazin Kareem Kadhim
Department of Mathematics Science, Ministry of Education, Babylon, Iraq
چکیده
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.
کلیدواژه‌ها
machine learning؛ mathematical programming؛ optimization techniques
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