Machine Learning

Machine Learning英文簡介

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.

Machine Learning中文簡介

《Machine Learning》是一本由SPRINGER出版商出版的專業(yè)工程技術(shù)期刊，該刊創(chuàng)刊于1986年，刊期Monthly，該刊已被國際權(quán)威數(shù)據(jù)庫SCIE、SCI收錄。在中科院最新升級版分區(qū)表中，該刊分區(qū)信息為大類學(xué)科：工程技術(shù) 3區(qū)，小類學(xué)科：計(jì)算機(jī)：人工智能 4區(qū)；在JCR（Journal Citation Reports）分區(qū)等級為Q2。該刊發(fā)文范圍涵蓋計(jì)算機(jī)：人工智能等領(lǐng)域，旨在及時(shí)、準(zhǔn)確、全面地報(bào)道國內(nèi)外計(jì)算機(jī)：人工智能工作者在該領(lǐng)域取得的最新研究成果、工作進(jìn)展及學(xué)術(shù)動態(tài)、技術(shù)革新等，促進(jìn)學(xué)術(shù)交流，鼓勵(lì)學(xué)術(shù)創(chuàng)新。2021年影響因子為5.414，平均審稿速度較慢,6-12周。

中科院分區(qū)最新升級版（當(dāng)前數(shù)據(jù)版本：2021年12月最新升級版）

大類學(xué)科	分區(qū)	小類學(xué)科	分區(qū)	Top期刊	綜述期刊
計(jì)算機(jī)科學(xué)	3區(qū)	COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE 計(jì)算機(jī)：人工智能	3區(qū)	否	否

JCR分區(qū)（當(dāng)前數(shù)據(jù)版本：2021-2022年最新版）

JCR分區(qū)等級	JCR所屬學(xué)科	分區(qū)	影響因子
Q2	COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE	Q2	5.414

期刊指數(shù)

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

IF值(影響因子)趨勢圖