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. Final versions are published electronically (ISSN 1533-7928) immediately upon receipt. Until the end of 2004, paper volumes (ISSN 1532-4435) were published 8 times annually and sold to libraries and individuals by the MIT Press. Paper volumes (ISSN 1532-4435) are now published and sold by Microtome Publishing.

 

JMLR seeks previously unpublished papers on machine learning that contain: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

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