Machine Learning
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...
Metrics
Scimago and CountryOfPapers database fields
SJR Impact
1,147
H-index
175
Docs (year)
287
Docs 3y
411
Total refs
15391
Cites 3y
2565
Citable 3y
408
Cites/Doc 2y
4.19
Ref/Doc
53.63
Immediate OA
2290 €
Embargoed OA
NPD
Non OA / Submission
0 €
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Researcher reviews
Best articles by citations
Simple statistical gradient-following algorithms for connectionist reinforcement learning
Instance-based learning algorithms
Learning to predict by the methods of temporal differences
A Bayesian method for the induction of probabilistic networks from data
Projection Support Vector Machine Generators
View moreOptimal Ordered Problem Solver
View moreOn Data and Algorithms: Understanding Inductive Performance
View moreInduction as Consequence Finding
View moreInducing Multi-Level Association Rules from Multiple Relations
View moreDiscretization for naive-Bayes learning: managing discretization bias and variance
View moreClassification Using F-Machines and Constructive Function Approximation
View moreART: A Hybrid Classification Model
View moreA Reinforcement Learning Algorithm Based on Policy Iteration for Average Reward: Empirical Results with Yield Management and Convergence Analysis
View more