Training analysis of optimization models in machine learning

سال انتشار: 1400
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 160

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شناسه ملی سند علمی:

JR_IJNAA-12-2_111

تاریخ نمایه سازی: 11 آذر 1401

چکیده مقاله:

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.

نویسندگان

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

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

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