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JMLR seeks previously unpublished papers on machine learning that contain: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

《機器學(xué)習(xí)研究雜志》（JMLR）為機器學(xué)習(xí)各個領(lǐng)域的高質(zhì)量學(xué)術(shù)文章的電子版和紙質(zhì)出版提供了一個國際論壇。所有已發(fā)表的論文均可在線免費獲取。

JMLR 致力于嚴格而快速的審查。

JMLR 尋求以前未發(fā)表的機器學(xué)習(xí)論文，其中包含：

具有可靠經(jīng)驗驗證的新原理算法，以及理論、心理或生物學(xué)性質(zhì)的論證；

實驗和/或理論研究，對智能系統(tǒng)中的學(xué)習(xí)設(shè)計和行為產(chǎn)生新的見解；

現(xiàn)有技術(shù)的應(yīng)用說明，闡明了方法的優(yōu)缺點；

新學(xué)習(xí)任務(wù)的形式化（例如，在新的應(yīng)用背景下）和評估這些任務(wù)表現(xiàn)的方法；

開發(fā)新的分析框架，推動實踐學(xué)習(xí)方法的理論研究；

行為或神經(jīng)層面的自然學(xué)習(xí)系統(tǒng)數(shù)據(jù)的計算模型；或?qū)ΜF(xiàn)有工作進行極其出色的調(diào)查。

Journal Of Machine Learning Research創(chuàng)刊于2001年，由Microtome Publishing出版商出版，收稿方向涵蓋工程技術(shù) - 計算機：人工智能全領(lǐng)域，此刊是中等級別的SCI期刊，所以過審相對來講不是特別難，但是該刊專業(yè)認可度不錯，仍然是一本值得選擇的SCI期刊 。平均審稿速度 約2月 ，影響因子指數(shù)4.3，該期刊近期沒有被列入國際期刊預(yù)警名單，廣大學(xué)者值得一試。