Machine Learning (journal)
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| Discipline | Machine learning |
|---|---|
| Language | English |
| Publication details | |
| History | 1986 to present |
| Publisher | |
| 1.467 (2012) | |
| Standard abbreviations | |
| ISO 4 | Mach. Learn. |
| Indexing | |
| ISSN | 1573-0565 |
| Links | |
Machine Learning is a peer-reviewed scientific journal, published since 1986. It should be distinguihed from the journal Machine intelligence which was established in the mid-1960s.[1]
In 2001, forty editors and members of the editorial board of Machine Learning resigned in order to support the Journal of Machine Learning Research (JMLR), saying that in the era of the internet, it was detrimental for researchers to continue publishing their papers in expensive journals with pay-access archives. Instead, they wrote, they supported the model of JMLR, in which authors retained copyright over their papers and archives were freely available on the internet.[2]
Following the mass resignation, Kluwer changed their publishing policy to allow authors to self-archive their papers online after peer-review.[3]
References
- ^ E.g.: John Alan Robinson (1971). "Computational Logic: The Unification Computation". Machine Intelligence. 6: 63–72.
vs.: Robert C. Berwick and Samuel F. Pilato (1987). "Learning Syntax by Automata Induction" (PDF). Machine Learning. 2 (1): 9–38. - ^ "Editorial Board of the Kluwer Journal, Machine Learning: Resignation Letter". SIGIR Forum. 35 (2). 2001.
- ^ Robin, Peek (1 December 2001). "Machine Learning's Editorial Board Divided". Information Today. 18 (11).
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