Aims and Scope
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. Less
Key Metrics
Journal Specifications
- PublisherSPRINGER
- LanguageEnglish
- FrequencyMonthly
- LanguageEnglish
- FrequencyMonthly
- Publication Start Year1986
- Publisher URL
- Website URL
Months | % Papers published |
---|---|
0-3 | 0% |
4-6 | 3% |
7-9 | 36% |
>9 | 61% |
Topics Covered
Year-wise Publication
- 5Y
- 10Y
FAQs
Since when has Machine Learning been publishing? 
The Machine Learning has been publishing since 1986 till date.
How frequently is the Machine Learning published? 
Machine Learning is published Monthly.
Who is the publisher of Machine Learning? 
The publisher of Machine Learning is SPRINGER.
Where can I find a journal's aims and scope of Machine Learning? 
For the Machine Learning's Aims and Scope, please refer to the section above on the page.
How can I view the journal metrics of Machine Learning on editage? 
For the Machine Learning metrics, please refer to the section above on the page.
What is the eISSN and pISSN number of Machine Learning? 
The eISSN number is 1573-0565 and pISSN number is 0885-6125 for Machine Learning.
What is the focus of this journal? 
The journal covers a wide range of topics inlcuding Reinforcement learning, Machine learning, Test set, Support vector machine, Gaussian process, Online optimization, Total cost, Inductive logic programming, Sparse matrix, Tensor completion, Inverse reinforcement learning, Bipartite graph, Heuristic, Online aggregation, Deep learning, Manifold regularization, Time series, Semi-supervised learning, Bayesian optimization, Programming constructs.
Why is it important to find the right journal for my research? 
Choosing the right journal ensures that your research reaches the most relevant audience, thereby maximizing its scholarly impact and contribution to the field.
Can the choice of journal affect my academic career? 
Absolutely. Publishing in reputable journals can enhance your academic profile, making you more competitive for grants, tenure, and other professional opportunities.
Is it advisable to target high-impact journals only? 
While high-impact journals offer greater visibility, they are often highly competitive. It's essential to balance the journal's impact factor with the likelihood of your work being accepted.