Machine Learning is a peer-reviewed scientific journal, published since 1986.

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.

Following the mass resignation, Kluwer changed their publishing policy to allow authors to self-archive their papers online after peer-review.

Abstracting and indexing

The journal is abstracted and indexed in several databases, for example in:

Selected articles

  • J.R. Quinlan (1986). . Machine Learning. 1: 81–106. doi:.
  • Nick Littlestone (1988). (PDF). Machine Learning. 2 (4): 285–318. doi:. Archived from (PDF) on 2022-07-02.
  • John R. Anderson and Michael Matessa (1992). . Machine Learning. 9 (4): 275–308. doi:.
  • David Klahr (1994). . Machine Learning. 14 (3): 313–320. doi:.
  • Thomas Dean and Dana Angluin and Kenneth Basye and Sean Engelson and Leslie Kaelbling and Evangelos Kokkevis and Oded Maron (1995). . Machine Learning. 18: 81–108. doi:.
  • Luc De Raedt and Luc Dehaspe (1997). . Machine Learning. 26 (2/3): 99–146. doi:.
  • C. de la Higuera (1997). "Characteristic Sets for Grammatical Inference". Machine Learning. 27: 1–14.
  • Robert E. Schapire and Yoram Singer (1999). . Machine Learning. 37 (3): 297–336. doi:.
  • Robert E. Schapire and Yoram Singer (2000). . Machine Learning. 39 (2/3): 135–168. doi:.
  • P. Rossmanith and T. Zeugmann (2001). . Machine Learning. 44 (1–2): 67–91. doi:.
  • Parekh, Rajesh; Honavar, Vasant (2001). . Machine Learning. 44 (1/2): 9–35. doi:.
  • Ayhan Demiriz and Kristin P. Bennett and John Shawe-Taylor (2002). . Machine Learning. 46: 225–254. doi:.
  • Simon Colton and Stephen Muggleton (2006). (PDF). Machine Learning. 64 (1–3): 25–64. doi:.
  • Will Bridewell and Pat Langley and Ljupco Todorovski and Saso Dzeroski (2008). "Inductive Process Modeling". Machine Learning.
  • Stephen Muggleton and Alireza Tamaddoni-Nezhad (2008). . Machine Learning. 70 (2–3): 121–133. doi:.