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.
Track Circuit Fault Diagnosis Method Based on Support Vector Machine Algorithm
Rizwan Viju
Abstract | References | PDF | HTML | Pub. Date: Dec 16, 2021
Maize Variety Identification Based on Support Vector Machines
Romany Jalali
Abstract | References | PDF | HTML | Pub. Date: Dec 16, 2021
Campus Security Access Control System Relying on Association Rules
Qingwei Wang
Abstract | References | PDF | HTML | Pub. Date: Dec 16, 2021
Application and Optimization of Decision Tree Algorithm in Classification Prediction
Jiwei Zhang
Abstract | References | PDF | HTML | Pub. Date: Dec 16, 2021
Sen Zhao and Tong Han
Abstract | References | PDF | HTML | Pub. Date: Dec 16, 2021
Diabetes Prediction Based on Random Forest Algorithm
Jie Cai
Abstract | References | PDF | HTML | Pub. Date: Dec 16, 2021