Machine Learning is an international forum for research on computational approaches to learning. The journal publishes articles reporting substantive results on a wide range of learning methods applied to a variety of learning problems, including but not limited to:
Learning Problems: Classification, regression, recognition, and prediction; Problem solving and planning; Reasoning and inference; Data mining; Web mining; Scientific discovery; Information retrieval; Natural language processing; Design and diagnosis; Vision and speech perception; Robotics and control; Combinatorial optimization; Game playing; Industrial, financial, and scientific applications of all kinds.
Learning Methods: Supervised and unsupervised learning methods (including learning decision and regression trees, rules, connectionist networks, probabilistic networks and other statistical models, inductive logic programming, case-based methods, ensemble methods, clustering, etc.); Reinforcement learning; Evolution-based methods; Explanation-based learning; Analogical learning methods; Automated knowledge acquisition; Learning from instruction; Visualization of patterns in data; Learning in integrated architectures; Multistrategy learning; Multi-agent learning.
《Machine Learning》是一本由SPRINGER出版商出版的專業工程技術期刊,該刊創刊于1986年,刊期Monthly,該刊已被國際權威數據庫SCIE、SCI收錄。在中科院最新升級版分區表中,該刊分區信息為大類學科:工程技術 3區,小類學科:計算機:人工智能 4區;在JCR(Journal Citation Reports)分區等級為Q2。該刊發文范圍涵蓋計算機:人工智能等領域,旨在及時、準確、全面地報道國內外計算機:人工智能工作者在該領域取得的最新研究成果、工作進展及學術動態、技術革新等,促進學術交流,鼓勵學術創新。2021年影響因子為5.414,平均審稿速度較慢,6-12周。
大類學科 | 分區 | 小類學科 | 分區 | Top期刊 | 綜述期刊 |
計算機科學 | 3區 | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE 計算機:人工智能 | 3區 | 否 | 否 |
JCR分區等級 | JCR所屬學科 | 分區 | 影響因子 |
Q2 | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | Q2 | 5.414 |
影響因子 | h-index | Gold OA文章占比 | 研究類文章占比 | OA開放訪問 | 平均審稿速度 |
5.414 | 135 | 37.50% | 99.37% | 未開放 | 較慢,6-12周 |