The growth in all aspects of research in the last decade has led to a multitude of new publications and an exponential increase in published research. Finding a way through the excellent existing literature and keeping up to date has become a major time-consuming problem. Electronic publishing has given researchers instant access to more articles than ever before. But which articles are the essential ones that should be read to understand and keep abreast with developments of any topic? To address this problem Foundations and Trends® in Machine Learning publishes high-quality survey and tutorial monographs of the field.
Foundations and Trends in Machine Learning (FTML)
is :
International, Peer-Reviewed, Open Access, Refereed,
Computer Science, Artificial Intelligence, Software, Human-Computer Interaction
,
Online
or
Print,
Monthly
Journal
UGC Approved, ISSN Approved: P-ISSN - 1935-8237, E-ISSN - 1935-8245, Established in - 2008, Impact Factor
True scholar network
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