Training analysis of optimization models in machine learning
عنوان مقاله: Training analysis of optimization models in machine learning
شناسه ملی مقاله: JR_IJNAA-12-2_111
منتشر شده در در سال 1400
شناسه ملی مقاله: JR_IJNAA-12-2_111
منتشر شده در در سال 1400
مشخصات نویسندگان مقاله:
- - - Department of Mathematics Science, Ministry of Education, Babylon, Iraq
- - - Department of Mathematics Science, Ministry of Education, Babylon, Iraq
- - - Department of Mathematics Science, Ministry of Education, Babylon, Iraq
خلاصه مقاله:
- - - Department of Mathematics Science, Ministry of Education, Babylon, Iraq
- - - Department of Mathematics Science, Ministry of Education, Babylon, Iraq
- - - Department of Mathematics Science, Ministry of Education, Babylon, Iraq
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.
کلمات کلیدی: machine learning, mathematical programming, optimization techniques
صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/1561191/