Journal Of Machine Learning Research

杂志介绍

Journal Of Machine Learning Research杂志介绍

《Journal Of Machine Learning Research》是一本以English为主的开放获取国际优秀期刊，中文名称机器学习研究杂志，本刊主要出版、报道计算机科学-AUTOMATION & CONTROL SYSTEMS领域的研究动态以及在该领域取得的各方面的经验和科研成果，介绍该领域有关本专业的最新进展，探讨行业发展的思路和方法，以促进学术信息交流，提高行业发展。该刊已被国际权威数据库SCIE收录，为该领域相关学科的发展起到了良好的推动作用，也得到了本专业人员的广泛认可。该刊最新影响因子为4.3，最新CiteScore 指数为18.8。

本刊近期中国学者发表的论文主要有：

• Differentially private data releasing for smooth queries

  Author: wangzt2012

• SPSD matrix approximation vis column selection: theories, algorithms, and extensions

  Author: zhihua

• SPSD matrix approximation vis column selection: theories, algorithms, and extensions

  Author: ricky

• Hybrid orthogonal projection and estimation (HOPE): a new framework to learn neural networks

  Author: zsl2008

英文介绍

Journal Of Machine Learning Research杂志英文介绍

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JMLR seeks previously unpublished papers on machine learning that contain:

new principled algorithms with sound empirical validation, and with justification of theoretical, psychological, or biological nature;

experimental and/or theoretical studies yielding new insight into the design and behavior of learning in intelligent systems;

accounts of applications of existing techniques that shed light on the strengths and weaknesses of the methods;

formalization of new learning tasks (e.g., in the context of new applications) and of methods for assessing performance on those tasks;

development of new analytical frameworks that advance theoretical studies of practical learning methods;

computational models of data from natural learning systems at the behavioral or neural level; or extremely well-written surveys of existing work.