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MACHINE LEARNING Q2

期刊收录：
SCIE
Scopus

基本信息

期刊ISSN：
0885-6125
期刊简拼：
MACH LEARN
年发文章数：
164
E-ISSN：
1573-0565
Gold OA文章占比
46.75%
研究文章占比：
99.39%
是否OA：
No
Jcr分区：
Q2
中科院分区：
3区

出版信息

出版商：
Springer US
涉及研究方向：
工程技术-计算机：人工智能
出版国家：
UNITED STATES
出版语言：
English
出版周期：
Monthly
出版年份：
1986

2023-2024最新影响因子:4.3
自引率:2.30%
五年影响因子:5.8
JCI期刊引文指标:0.77
h-index:135
CiteScore:11.00

期刊关键词

2区 SCIE Scopus 计算机科学 3区 COMPUTER SCIENCE ARTIFICIAL INTELLIGENCE 计算机：人工智能

期刊简介

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.

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期刊简写：MACH LEARN

此期刊被最新的JCR期刊SCIE收录