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 JMLR seeks previously unpublished papers on machine learning that contain: New principled algorithms with sound empirical validation, and with justification of theoretical, psychological, or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