# JMLR — Journal of Machine Learning Research

- **Publisher**: Microtome Publishing
- **ISSN**: 1532-4435
- **CCF rank**: A
- **Trackers**: 70
- **Canonical page**: https://www.myhuiban.com/journal/169

## Call for papers

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 JMLR seeks previously unpublished papers on machine learning that contain: new principled algorithms with sound empirical validation, and with justification of theoretical, psychological, or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; or extremely well-written surveys of existing work.

## Related conferences

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- AAAI — AAAI Conference on Artificial Intelligence — https://www.myhuiban.com/conference/408
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- Machine Learning — https://www.myhuiban.com/journal/194
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Source: Conference Partner — https://www.myhuiban.com/journal/169 (rankings reproduced from CCF / ICORE / QUALIS; data cached up to 1 hour)