Machine Learning (journal)
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| Discipline | Machine learning |
|---|---|
| Language | English |
| Publication details | |
| History | 1986 to present |
| Publisher | |
| 2.809 (2018) | |
| Standard abbreviations Template:Infobox journal/Abbreviation search | |
| ISO 4 | Mach. Learn. |
| IndexingTemplate:Infobox journal/Indexing search | |
| ISSN | 1573-0565 |
| Links | |
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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.[1]
Following the mass resignation, Kluwer changed their publishing policy to allow authors to self-archive their papers online after peer-review.[2]
Abstracting and indexing
The journal is abstracted and indexed in several databases, for example in:[3] Script error: No such module "Template wrapper".
Selected articles
- Page Module:Citation/CS1/styles.css has no content.J.R. Quinlan (1986). "Induction of Decision Trees". Machine Learning. 1: 81–106. doi:10.1007/BF00116251.
- Page Module:Citation/CS1/styles.css has no content.Nick Littlestone (1988). "Learning Quickly When Irrelevant Attributes Abound: A New Linear-threshold Algorithm" (PDF). Machine Learning. 2 (4): 285–318. doi:10.1007/BF00116827. Archived from the original (PDF) on 2022-07-02. Retrieved 2020-02-22.
- Page Module:Citation/CS1/styles.css has no content.John R. Anderson and Michael Matessa (1992). "Explorations of an Incremental, Bayesian Algorithm for Categorization". Machine Learning. 9 (4): 275–308. doi:10.1007/BF00994109.
- Page Module:Citation/CS1/styles.css has no content.David Klahr (1994). "Children, Adults, and Machines as Discovery Systems". Machine Learning. 14 (3): 313–320. doi:10.1007/BF00993981.
- Page Module:Citation/CS1/styles.css has no content.Thomas Dean and Dana Angluin and Kenneth Basye and Sean Engelson and Leslie Kaelbling and Evangelos Kokkevis and Oded Maron (1995). "Inferring Finite Automata with Stochastic Output Functions and an Application to Map Learning". Machine Learning. 18: 81–108. doi:10.1007/BF00993822.
- Page Module:Citation/CS1/styles.css has no content.Luc De Raedt and Luc Dehaspe (1997). "Clausal Discovery". Machine Learning. 26 (2/3): 99–146. doi:10.1023/A:1007361123060.
- Page Module:Citation/CS1/styles.css has no content.C. de la Higuera (1997). "Characteristic Sets for Grammatical Inference". Machine Learning. 27: 1–14.
- Page Module:Citation/CS1/styles.css has no content.Robert E. Schapire and Yoram Singer (1999). "Improved Boosting Algorithms Using Confidence-rated Predictions". Machine Learning. 37 (3): 297–336. doi:10.1023/A:1007614523901.
- Page Module:Citation/CS1/styles.css has no content.Robert E. Schapire and Yoram Singer (2000). "BoosTexter: A Boosting-based System for Text Categorization". Machine Learning. 39 (2/3): 135–168. doi:10.1023/A:1007649029923.
- Page Module:Citation/CS1/styles.css has no content.P. Rossmanith and T. Zeugmann (2001). "Stochastic Finite Learning of the Pattern Languages". Machine Learning. 44 (1–2): 67–91. doi:10.1023/A:1010875913047.
- Page Module:Citation/CS1/styles.css has no content.Parekh, Rajesh; Honavar, Vasant (2001). "Learning DFA from Simple Examples". Machine Learning. 44 (1/2): 9–35. doi:10.1023/A:1010822518073.
- Page Module:Citation/CS1/styles.css has no content.Ayhan Demiriz and Kristin P. Bennett and John Shawe-Taylor (2002). "Linear Programming Boosting via Column Generation". Machine Learning. 46: 225–254. doi:10.1023/A:1012470815092.
- Page Module:Citation/CS1/styles.css has no content.Simon Colton and Stephen Muggleton (2006). "Mathematical Applications of Inductive Logic Programming" (PDF). Machine Learning. 64 (1–3): 25–64. doi:10.1007/s10994-006-8259-x.
- Page Module:Citation/CS1/styles.css has no content.Will Bridewell and Pat Langley and Ljupco Todorovski and Saso Dzeroski (2008). "Inductive Process Modeling". Machine Learning.
- Page Module:Citation/CS1/styles.css has no content.Stephen Muggleton and Alireza Tamaddoni-Nezhad (2008). "QG/GA: a stochastic search for Progol". Machine Learning. 70 (2–3): 121–133. doi:10.1007/s10994-007-5029-3.
References
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- ^ Page Module:Citation/CS1/styles.css has no content."Editorial Board of the Kluwer Journal, Machine Learning: Resignation Letter". SIGIR Forum. 35 (2). 2001.
- ^ Page Module:Citation/CS1/styles.css has no content.Robin, Peek (1 December 2001). "Machine Learning's Editorial Board Divided". Information Today. 18 (11). Archived from the original on 13 August 2017. Retrieved 12 August 2017.
- ^ Template:Cite MIAR
- ^ Page Module:Citation/CS1/styles.css has no content."Machine Learning – Abstracting and indexing". Springer Nature. Retrieved 2025-06-18.
- ^ Page Module:Citation/CS1/styles.css has no content."Machine Learning – Abstracting and indexing". Springer Nature. Retrieved 2025-06-18.
- ^ Page Module:Citation/CS1/styles.css has no content."Machine Learning – Abstracting and indexing". Springer Nature. Retrieved 2025-06-18.
- ^ Page Module:Citation/CS1/styles.css has no content."Machine Learning – Abstracting and indexing". Springer Nature. Retrieved 2025-06-18.
- ^ Page Module:Citation/CS1/styles.css has no content."Machine Learning – Abstracting and indexing". Springer Nature. Retrieved 2025-06-18.
