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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 ...
The journal was established as an open-access alternative to the journal Machine Learning. In 2001, forty editorial board members of Machine Learning resigned, 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.
DBLP (Digital Bibliography & Library Project in computer science) The Collection of Computer Science Bibliographies; Lists. List of computer science conferences; List of computer science conference acronyms; List of open problems in computer science; List of mathematics journals; Categories. Biomedical informatics journals; Computational ...
Physics, Mathematics, Computer science, Nonlinear sciences, Quantitative biology and Statistics: Repository of electronic pre-prints of papers in the fields of mathematics, physics, astronomy, computer science, quantitative biology, statistics, and quantitative finance. Free Cornell University [18] ASCE Library: Civil engineering
The journal was created in response to the machine learning explosion of the 2010s. It launched in January 2019, and its opening was met with controversy and boycotts within the machine learning research community due to opposition to Nature publishing the journal as closed access. [2]
The journal is abstracted and indexed by Inspec, Science Citation Index, and MathSciNet. According to the Journal Citation Reports, the journal has a 2019 impact factor of 2.441. [2] According to the SciMago Journal and Country Rank, the journal is ranked 8th among all open access computer science journals with an H-index of 112. [3]
The publications of the Institute of Electrical and Electronics Engineers (IEEE) constitute around 30% of the world literature in the electrical and electronics engineering and computer science fields, [citation needed] publishing well over 100 peer-reviewed journals. [1]
In 2001, Jordan and others resigned from the editorial board of the journal Machine Learning. In a public letter, they argued for less restrictive access and pledged support for a new open access journal, the Journal of Machine Learning Research, which was created by Leslie Kaelbling to support the evolution of the field of machine learning. [21]
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