Machine learning is one of the most intelligent and forward research fields in artificial intelligence. It covers many disciplines such as statistics, probability theory, approximation theory, convex analysis, algorithm complexity, etc. The journal Machine Learning focuses on the study of pedagogy, applied economics, mechanical engineering, computer science and technology, control science and engineering, etc.
In this journal, the researches on machine learning is developing rapidly, the application scope of learning methods is also expanding, and even some of the research findings have been transformed into products. It is intended to share the academic achievements, theories, techniques and existing problems of this topic, and summarize the research experience of the authors in order to improve the overall academic level of machine learning.
Original articles on machine learning are welcomed. The articles are expected to cover research methods, research progress, and research findings in some areas of machine learning.
Variable-weight Multi-target Adaptive Cruise Control Strategy based on Naive Bayes Algorithm
Ahthasham Ullah
Abstract | References | PDF | HTML | Pub. Date: Mar 16, 2021
Asia Khan
Abstract | References | PDF | HTML | Pub. Date: Mar 16, 2021
Ga dan Cai Rang
Abstract | References | PDF | HTML | Pub. Date: Mar 16, 2021
Machine Learning in the Construction of Library's Special Collection Document Information Resources
Jie Ren
Abstract | References | PDF | HTML | Pub. Date: Mar 16, 2021
Computer-aided Translation in Interpretation Learning under the New Liberal Arts Horizona
Renna Gui
Abstract | References | PDF | HTML | Pub. Date: Mar 16, 2021
Yun Li
Abstract | References | PDF | HTML | Pub. Date: Mar 16, 2021