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.
Quality Control Method of Exploration and Development Data Based on Machine Learning
Zhiqiu Yang
Abstract | References | PDF | HTML | Pub. Date: Sep 16, 2020
Earthquake Distribution and Crustal Seismic Wave Velocity Based on Machine Learning
Rashid Kim
Abstract | References | PDF | HTML | Pub. Date: Sep 16, 2020
Risk Monitoring and Early Warning of P2P Network Loan Platform Based on Machine Learning
Xiaokui Zhao
Abstract | References | PDF | HTML | Pub. Date: Sep 16, 2020
Junmin Gull
Abstract | References | PDF | HTML | Pub. Date: Sep 16, 2020
Random Forest in Image Segmentation
Weiwei Gao
Abstract | References | PDF | HTML | Pub. Date: Sep 16, 2020
Zhanwei Feng
Abstract | References | PDF | HTML | Pub. Date: Sep 16, 2020