Machine Learning is an international forum for research on computational approaches to learning. The journal publishes articles reporting substantive results on a wide range of learning methods applied to a variety of learning problems.

The journal features papers that describe research on problems and methods, applications research, and issues of research methodology. Papers making claims about learning problems or methods provide solid support via empirical studies, theoretical analysis, or comparison to psychological phenomena. Applications papers show how to apply learning methods to solve important applications problems. Research methodology papers improve how machine learning research is conducted.

All papers describe the supporting evidence in ways that can be verified or replicated by other researchers. The papers also detail the learning component clearly and discuss assumptions regarding knowledge representation and the performance task.

  • An international forum for research on computational approaches to learning.
  • Reports substantive results on a wide range of learning methods applied to a variety of learning problems.
  • Provides solid support via empirical studies, theoretical analysis, or comparison to psychological phenomena.
  • Shows how to apply learning methods to solve important applications problems.
  • Improves how machine learning research is conducted.

Journal information

Editor-in-Chief
  • Hendrik Blockeel
Publishing model
Hybrid (Transformative Journal). How to publish with us, including Open Access

Journal metrics

5.414 (2021)
Impact factor
5.808 (2021)
Five year impact factor
47 days
Submission to first decision (Median)
1,086,053 (2021)
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About this journal

Electronic ISSN
1573-0565
Print ISSN
0885-6125
Abstracted and indexed in
  1. ACM Digital Library
  2. ANVUR
  3. BFI List
  4. Baidu
  5. CLOCKSS
  6. CNKI
  7. CNPIEC
  8. Current Contents/Engineering, Computing and Technology
  9. DBLP
  10. Dimensions
  11. EBSCO Discovery Service
  12. EI Compendex
  13. Google Scholar
  14. INSPEC
  15. Japanese Science and Technology Agency (JST)
  16. Journal Citation Reports/Science Edition
  17. Mathematical Reviews
  18. Naver
  19. OCLC WorldCat Discovery Service
  20. Portico
  21. ProQuest Advanced Technologies & Aerospace Database
  22. ProQuest-ExLibris Primo
  23. ProQuest-ExLibris Summon
  24. SCImago
  25. SCOPUS
  26. Science Citation Index
  27. Science Citation Index Expanded (SCIE)
  28. TD Net Discovery Service
  29. UGC-CARE List (India)
  30. WTI AG
  31. Wanfang
  32. zbMATH
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