JOURNAL OF MACHINE LEARNING RESEARCH

《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机器学习各个领域的高质量学术文章。所有发表的论文均可在网上免费查阅。JMLR寻求以前未发表的关于机器学习的论文，其中包含：新的原则性算法，具有良好的经验验证，并具有理论、心理或生物学性质的合理性；实验或理论研究，对智能系统中的学习设计和行为产生新的见解；说明现有技术的应用，阐明这些方法的优缺点；正式化新的学习任务（例如，在新的应用环境中）和评估这些任务绩效的方法；开发新的分析框架，促进实践学习方法的理论研究；自然学习系统在行为或神经层面上的数据计算模型；对现有工作的非常好的书面调查。

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 JMLR seeks previously unpublished papers on machine learning that contain:New principled algorithms with sound empirical validation, and with justification of theoretical, psychological, or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;Extremely well-written surveys of existing work.