Dear colleagues,
we are pleased to inform you that the following special issue is now open to receive submissions for possible publications.
Below you can find further information.
Title: Learning from Data: From Optimization to Inverse Problems
Submission Deadline: February 27, 2024
Journal: Journal of Computational Mathematics and Data Science
Keywords Topics of interest include but are not limited to:
-Optimization;Inverse problems;
-Hyperparameter estimation;
-Low-rank decomposition;
-Image reconstruction;
-Image processing;
-Regularization methods;
-Feature extraction
Description:
Over the past decade, machine learning has emerged as a major driving force in the growth of innovation. With the increasing amount of data generated, the research community in this field has expanded rapidly. This development has enabled the creation of interpretative models for learning from data that are precise, reliable, and effective.The rapid development of learning approaches naturally flows in the requirement for mathematical formalization and computational analysis of the related issues. These cover several fields of mathematics, from optimization to inverse problems, encountering several open questions in many real applications.
As the Guest Editors, we warmly invite you to contribute in our Special Issue.
Don't hesitate to forward this message to anyone who could be interested.
Should you have any questions or require further information, please do not hesitate to reach out.
Thank you very much for your kind consideration and apologies for multiple copies.
Best regards,
--
Flavia Esposito, Ph. D.
Department of Mathematics
Mi𝛿As research group
University of Bari Aldo Moro
via E. Orabona 4 - 70125 Bari, Italy