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.
Landslide Risk Assessment Based on Artificial Neural Network Model
Khadijah Ragab
Abstract | References | PDF | HTML | Pub. Date: Sep 10, 2021
Prediction Model of Grain Mold Probability Based on Naive Bayes Algorithm
Rajit Mansour
Abstract | References | PDF | HTML | Pub. Date: Sep 10, 2021
Radar Target Tracking Algorithm Based on Association Rules
Yanchen Xing
Abstract | References | PDF | HTML | Pub. Date: Sep 10, 2021
SSH Application Classification Based on Machine Learning
Jing Liu
Abstract | References | PDF | HTML | Pub. Date: Sep 10, 2021
A Machine Learning-supported Analysis of University Students' Mental Health
Yin Peng
Abstract | References | PDF | HTML | Pub. Date: Sep 10, 2021
Prediction Children's Gnawing Behaviour Based on Machine Learning
Lei Li
Abstract | References | PDF | HTML | Pub. Date: Sep 10, 2021