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 JMLR seeks previously unpublished papers on machine learning that contain:New principled algorithms with sound empirical validation, and with justification of theoretical, psychological, or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

《機器學習研究雜志》（JMLR）提供了一個國際論壇，用于電子和紙質出版機器學習各個領域的高質量學術文章。所有發表的論文均可在網上免費查閱。JMLR尋求以前未發表的關于機器學習的論文，其中包含：新的原則性算法，具有良好的經驗驗證，并具有理論、心理或生物學性質的合理性；實驗或理論研究，對智能系統中的學習設計和行為產生新的見解；說明現有技術的應用，闡明這些方法的優缺點；正式化新的學習任務（例如，在新的應用環境中）和評估這些任務績效的方法；開發新的分析框架，促進實踐學習方法的理論研究；自然學習系統在行為或神經層面上的數據計算模型；對現有工作的非常好的書面調查。