Journal of Machine Learning Research

期刊简介：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 JMLR seeks previously unpublished papers on machine learning that contain:new principled algorithms with sound empirical validation, and with justification of theoretical, psychological, or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.

【译文】《机器学习研究杂志》（JMLR）提供了一个国际论坛，用于电子和纸质出版高质量学术文章，涵盖机器学习的所有领域。所有发表的文章都可以免费在线获取。JMLR致力于严格的快速审稿。JMLR寻求之前未发表的机器学习论文，这些论文包含：具有坚实实证验证的新原理算法，以及具有理论、心理或生物性质的论证；对智能系统学习和行为的新见解的实验和/或理论研究；对现有技术应用的描述，这些应用揭示了方法的优缺点；新学习任务（例如，在新的应用背景下）及其评估性能的方法的形式化；推进实际学习方法理论研究的新的分析框架；自然学习系统在行为或神经水平上的数据计算模型；或对现有工作的极好综述。