Optimization Method and Its Applications in Machine Learning
A special issue of Axioms (ISSN 2075-1680).
Deadline for manuscript submissions: closed (31 January 2024) | Viewed by 619
Special Issue Editors
Interests: optimization theory and methods; non-smooth optimization; statistical analysis; nonlinear equations; compression sensing; image processing; optimization methods in engineering
Special Issues, Collections and Topics in MDPI journals
Interests: optimization; machine learning; biology computation
Interests: optimization theory and methods; numerical linear algebra; statistical analysis
Special Issue Information
Dear Colleagues,
This Special Issue on the "Optimization Method and Its Applications in Machine Learning" focuses on exploring the use of machine learning and optimization techniques, and how these methods are applied in engineering mathematics. It aims to investigate their synergistic relationship and demonstrate their potential in solving complex engineering problems. The scope of this Special Issue includes topics such as the application of machine learning algorithms, integration of optimization methods with machine learning, development of hybrid models, utilization of machine learning for parameter estimation and system identification, optimization-based approaches to enhance machine learning, and case studies demonstrating real-world applications.
This Special Issue supplements the existing literature by providing comprehensive coverage of the current state-of-the-art research in this area. It integrates diverse perspectives from various disciplines, including engineering, mathematics, computer science, and optimization. This Special Issue presents novel methodologies and applications that combine machine learning and optimization, offers comparative analyses and evaluations of different techniques, and includes case studies and practical implementations. It also discusses future research directions and challenges in the field, guiding researchers and inspiring further exploration.
Prof. Dr. Gonglin Yuan
Prof. Dr. Shengwei Yao
Dr. Xiaoliang Dong
Prof. Dr. Stefania Bellavia
Guest Editors
Manuscript Submission Information
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Keywords
- machine learning
- optimization algorithms
- engineering mathematics
- convergence
- application
- interdisciplinary collaboration
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