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.
Machine Learning based Health Status Assessment of Super-span Suspension Bridges
Kothapali Bisen
Abstract | References | PDF | HTML | Pub. Date: Jun 16, 2020
Theory and Practice of Super Parameter Optimization for Machine Learning Algorithm
Lijuan Shan
Abstract | References | PDF | HTML | Pub. Date: Jun 16, 2020
Optimization of Delivery Process Based on Machine Learning Support Vector Regression SVR Algorithm
Zhaoyang Wu
Abstract | References | PDF | HTML | Pub. Date: Jun 16, 2020
Malicious Network Attack and Intrusion Based on Decision Tree Algorithm
Yupeng Sang
Abstract | References | PDF | HTML | Pub. Date: Jun 16, 2020
Collaborative Filtering Algorithm based on Hybrid Machine Learning Optimization
Shengwei Qiu
Abstract | References | PDF | HTML | Pub. Date: Jun 16, 2020
Filtering Spam Messages Based on Improved Naive Bayesian Algorithm
Xiaolei Zhang
Abstract | References | PDF | HTML | Pub. Date: Jun 16, 2020