Journal Title：Journal Of Machine Learning Research

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JMLR seeks previously unpublished papers on machine learning that contain: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.

机器学习研究杂志 (JMLR) 为机器学习所有领域的高质量学术文章的电子和纸质出版物提供了一个国际论坛。所有已发表的论文均可在线免费获取。

JMLR 承诺进行严格而快速的审查。

JMLR 寻找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证明；

实验和/或理论研究对智能系统中的学习设计和行为产生了新的见解；

说明现有技术的应用说明了这些方法的优缺点；

新学习任务的形式化（例如，在新应用程序的背景下）以及评估这些任务表现的方法；

开发新的分析框架，推进实践学习方法的理论研究；

行为或神经层面的自然学习系统数据的计算模型；或对现有工作的非常好的调查。