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, including but not limited to: Learning Problems: Classification, regression, recognition, and prediction; Problem solving and planning; Reasoning and inference; Data mining; Web mining.
Journal Home: Journal Homepage
Editor-in-Chief: Hendrik Blockeel
scope: Natural language processing; Design and diagnosis; Vision and speech perception; Robotics and control; Combinatorial optimization; Game playing; Industrial, financial, and scientific applications of all kinds. Learning Methods: Supervised and unsupervised learning methods (including learning decision and regression trees, rules, connectionist networks, probabilistic networks and other statistical models.
Print ISSN: 08856125,
Electronic ISSN: 15730565
Abstracting and Indexing: Scopus SCience Citation Index Expanded
Imapct Factor 2021: 5.414
Subject Area and Category: Computer Science Artificial Intelligence Software
Publication Frequency:
H Index: 153
Q1: Software
Q2:
Q3:
Q4:
Cite Score: 7.2
SNIP: 2.348
Journal Rank(SJR): 1.64
Latest Articles: Latest Articles in Machine Learning
Guidelines for Authors: Machine Learning Author Guidelines
Paper Submissions: Paper Submissions in Machine Learning
Publisher: Springer Netherlands
Country: Netherlands
