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Journal of Machine Learning Research

From Wikipedia, the free encyclopedia

Academic journal
Journal of Machine Learning Research
DisciplineMachine learning
LanguageEnglish
Edited byFrancis Bach,David Blei
Publication details
History2000–present
Publisher
JMLR, Inc. and Microtome Publishing (United States)
Yes
4.091 (2018)
Standard abbreviations
ISO 4 (alt· Bluebook (alt)
NLM (alt· MathSciNet (altPaid subscription required)
ISO 4J. Mach. Learn. Res.
Indexing
CODEN (alt · alt2· JSTOR (alt· LCCN (alt)
MIAR · NLM (alt· Scopus · W&L
CODENJMLRAJ
ISSN1532-4435 (print)
1533-7928 (web)
LCCN00212568
OCLC no.712803341
Links
Part of a series on
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TheJournal of Machine Learning Research is apeer-reviewedopen accessscientific journal coveringmachine learning. It was established in 2000 and the first editor-in-chief wasLeslie Kaelbling.[1] The currenteditors-in-chief are Francis Bach (Inria) andDavid Blei (Columbia University).

History

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The journal was established as an open-access alternative to the journalMachine Learning. In 2001, fortyeditorial board members ofMachine Learning resigned, saying that in the era of theInternet, it was detrimental for researchers to continue publishing their papers in expensive journals with pay-access archives. The open access model employed by theJournal of Machine Learning Research allows authors to publish articles for free and retain copyright, while archives are freely available online.[2]

Print editions of the journal were published byMIT Press until 2004 and by Microtome Publishing thereafter. From its inception, the journal received no revenue from the print edition and paid no subvention to MIT Press or Microtome Publishing.[1]

In response to the prohibitive costs of arranging workshop and conferenceproceedings publication with traditionalacademic publishing companies, the journal launched a proceedings publication arm in 2007[3] and now publishes proceedings for several leading machine learningconferences, including theInternational Conference on Machine Learning,COLT,AISTATS, and workshops held at theConference on Neural Information Processing Systems.

References

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  1. ^abShieber, Stuart (6 March 2012)."An efficient journal".The Occasional Pamphlet. Retrieved12 February 2017.
  2. ^"Editorial Board of the Kluwer Journal, Machine Learning: Resignation Letter".SIGIR Forum.35 (2). 2001.
  3. ^Lawrence, Neil (30 March 2015)."Proceedings of Machine Learning Research".Inverseprobability. Retrieved12 February 2017.

Further reading

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External links

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