Submission Deadline: 03 January 2022 (closed) View: 130
Artificial intelligence and machine learning are the hot research topics in recent years, both in theory and applications. However, machine learning models are quick to slip into overfitting issues because machine learning systems have uncertainty or backbox problems; it is challenging to consider how a given algorithm makes a judgment, which is essential in certain fields, especially real-world applications and theories.
This special issue focuses on the latest development in the Artificial Intelligence and Machine Learning foundation of real-world applications and theories. We welcome the new research ideas and developments in mathematics and computing relevant to real-world applications and theories from a machine learning perspective, including foundation, systems, innovative application, and other research contributions.