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 JMLR seeks previously unpublished papers on machine learning that contain: new principled algorithms with sound empirical validation, and with justification of theoretical, psychological, or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

Journal of Machine Learning Research（JMLR）是一个国际性的论坛，旨在为机器学习领域的高质量学术论文提供电子和纸质出版。该期刊的所有发表文章均可在线免费获取，以促进学术共享和知识传播。JMLR 以其严格而快速的评审过程著称，致力于发表前未发表过的原创论文，这些论文应包含以下内容：新的原则性算法及其可靠的经验验证，理论、心理学或生物学上的理由；对智能系统设计和学习行为的新见解；对现有技术应用的深入分析，包括其优缺点；对新的学习任务和评估方法的规范化；推动实用学习方法理论研究的新分析框架；以及对自然学习系统行为或神经层面数据的计算模型，或是对现有工作进行的详尽调查。