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.
Research Information Security Technology Based on Machine Learning
Jiayao Ji
Abstract | References | PDF | HTML | Pub. Date: Dec 16, 2020
Average Daily Processing Prediction of Artificial Hydropower Station Based on Machine Learning
Fawaz Alassery
Abstract | References | PDF | HTML | Pub. Date: Dec 16, 2020
Machine Learning Algorithm in Agricultural Machine Vision System
Malik Almulihi
Abstract | References | PDF | HTML | Pub. Date: Dec 16, 2020
About Decision Tree Algorithm in Table Tennis Tournament
Nian Zhang
Abstract | References | PDF | HTML | Pub. Date: Dec 16, 2020
Harmonic Measurement Method Based on Artificial Neural Network
Shenglan Li
Abstract | References | PDF | HTML | Pub. Date: Dec 16, 2020
Sensor Cloud Intrusion Detection Based on Discrete Optimization Algorithm and Machine Learning
Xiaoqi Yin
Abstract | References | PDF | HTML | Pub. Date: Dec 16, 2020