MACHINE LEARNING 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.
机器学习是一个研究计算学习方法的国际论坛。该期刊发表文章,报告了适用于各种学习问题的广泛学习方法的实质性结果,包括但不限于:
学习问题: 分类,回归,识别和预测; 问题解决和计划; 推理和推理; 数据挖掘; Web挖掘; 科学发现; 信息检索; 自然语言处理; 设计和诊断; 视觉和语音感知; 机器人技术和控制; 组合优化; 游戏; 各种工业、金融和科学应用。
学习方法: 监督和无监督学习方法 (包括学习决策和回归树,规则,连接主义网络,概率网络和其他统计模型,归纳逻辑编程,基于案例的方法,集成方法,聚类等); 强化学习; 基于进化的方法; 基于解释的学习; 类比学习方法; 自动知识获取; 从指令中学习; 数据中模式的可视化; 集成架构中的学习; 多策略学习; 多智能体学习。
期刊ISSN
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0885-6125 |
影响指数
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2.911 |
最新CiteScore值
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6.10 查看CiteScore评价数据 |
最新自引率
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4.60% |
官方指定润色网址
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https://www.deeredit.com/?type=ss1 |
投稿语言要求
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Improve the quality of the paper, eliminate grammar and spelling errors, increase readability, ensure accurate communication of viewpoints, enhance academic reputation, and increase the chances of the paper being accepted. 建议点击这个网址:https://www.deeredit.com/?type=ss2,资深审稿专家为您评估稿件质量,提供针对性改进建议,最终可助您极大提升目标期刊录用率 |
期刊官方网址
hot |
https://www.peipusci.com/?type=9 |
杂志社征稿网址
hot |
https://www.peipusci.com/?type=10 |
通讯地址
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SPRINGER, VAN GODEWIJCKSTRAAT 30, DORDRECHT, NETHERLANDS, 3311 GZ |
偏重的研究方向(学科)
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工程技术-计算机:人工智能 |
出版周期
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Monthly |
出版年份
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1986 |
出版国家/地区
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UNITED STATES |
是否OA
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No |
SCI期刊coverage
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Science Citation Index Expanded(科学引文索引扩展) |
NCBI查询
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PubMed Central (PMC)链接 全文检索(pubmed central) |
最新中科院JCR分区
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大类(学科)
小类(学科)
综述期刊
工程技术
COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE(计算机:人工智能)4区
否
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最新的影响因子
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2.911 | |||||
最新公布的期刊年发文量 |
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总被引频次 | 135 | |||||
影响因子趋势图 |
近年的影响因子趋势图(整体平稳趋势)
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2022年预警名单预测最新
最新CiteScore值
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6.10
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年文章数 | 90 | ||||||||||||||
SJR
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0.667 | ||||||||||||||
SNIP
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2.031 | ||||||||||||||
CiteScore排名
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CiteScore趋势图 |
CiteScore趋势图
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本刊同领域相关期刊
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期刊名称 | IF值 |
JOURNAL OF MACHINE LEARNING RESEARCH | 3.617 |
International Journal of Fuzzy Systems | 4.626 |
AUTONOMOUS AGENTS AND MULTI-AGENT SYSTEMS | 1.417 |
INTELLIGENT AUTOMATION AND SOFT COMPUTING | 1.631 |
AI MAGAZINE | 1.083 |
NEUROCOMPUTING | 5.662 |
IET Biometrics | 2.562 |
MACHINE LEARNING | 2.911 |
AI COMMUNICATIONS | 0.532 |
本刊同分区等级的相关期刊
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期刊名称 | IF值 |
JOURNAL OF MACHINE LEARNING RESEARCH | 3.617 |
International Journal of Fuzzy Systems | 4.626 |
MACHINE LEARNING | 2.911 |
APPLIED INTELLIGENCE | 5.035 |
NEURAL PROCESSING LETTERS | 2.879 |
PATTERN RECOGNITION LETTERS | 3.718 |
INTERNATIONAL JOURNAL OF APPROXIMATE REASONING | 3.778 |
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