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Machine Learning is an international forum focusing on computational approaches to learning.

  • Reports substantive results on a wide range of learning methods applied to various learning problems.
  • Provides robust support through empirical studies, theoretical analysis, or comparison to psychological phenomena.
  • Demonstrates how to apply learning methods to solve significant application problems.
  • Improves how machine learning research is conducted.
  • Prioritizes verifiable and replicable supporting evidence in all published papers.

  • Hendrik Blockeel
Journal Impact Factor
4.3 (2023)
5-year Journal Impact Factor
5.8 (2023)
Submission to first decision (median)
16 days
1,349,126 (2023)

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  26. Wanfang
  27. zbMATH
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