Machine Learning是一本TJ模式(Transformative Journal)的期刊。作者可以使用传统的读者订阅方式或通过黄金开放方式来发表文章。文章处理费(APC)为£1890.00/$2780.00/€2190.00,折合人民币约18000元。 9.网友点评 网友评价1: 接收范围很广:”scientific research papers in any field“。 审稿速度2周左右:“the proces...
Please visit theInstructions for Authorspage before submitting amanuscript. TheArticle Processing Charge (APC)for publication in thisopen accessjournal is 2000 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI'sEnglish editing serviceprior to pub...
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. The journal features papers that describe research on problems and ...
The Journal of Machine Learning Research (JMLR) provides an international forum for the electronic and paper publication of high-quality scholarly articles in all areas of machine learning. All published papers are freely available online. JMLR has a commitment to rigorous yet rapid reviewing. JMLR ...
Machine learning and IoT in smart transportation systems were reviewed. Smart transportation was considered as a broad problem, and several sub-problems of ML deployment were highlighted. The reviewed studies were not restricted to journal papers. ML deployments in IoT for smart transportation systems ...
Journal updates CfP: Discovery Science 2023 Submission Deadline: March 4, 2024 Guest Editors: Rita P. Ribeiro, Albert Bifet, Ana Carolina Lorena CfP: IJCLR Learning and reasoning Call for Papers: Conformal Prediction and Distribution-Free Uncertainty Quantification ...
The Journal of Machine Learning Research (JMLR) provides an international forum for the electronic and paper publication of high-quality scholarly articles in all areas of machine learning. All published papers are freely available online. JMLR has a commitment to rigorous yet rapid reviewing. ...
Call for Papers The Journal of Machine Learning for Modeling and Computing (JMLMC) is seeking submissions from leaders in the field. If you would like to contribute, please submit your articles in Begell House submission site atBegell House Submission System ...
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. Papers describe research on problems and methods, applications ...
http://jmlr.org/papers/volume14/bottou13a/bottou13a.pdf ). 因果问题对于一个实际的机器学习系统...