Special Issue "Machine Learning and Data Mining in Pattern Recognition"
Deadline for manuscript submissions: closed (31 January 2021).
Interests: probability theory; machine learning; pattern recognition; data mining; knowledge discovery; neural networks and artificial intelligence
Interests: estimation and optimization; multiagent adaptive control; randomized algorithms; clustering; data mining
Special Issues and Collections in MDPI journals
Technological progress brings to our attention substantial datasets that need to be studied with suitable speed and capacity. As a result, currently developed machine learning and pattern recognition tools have undergone rapid expansion in the computer science frontier and with respect to applications in engineering, industry, cyber-physics, economics, medicine, biology, the social and political world, and other areas. As two facets of the same area, machine learning and pattern recognition share approaches, methods, and skills constructed and adapted to resolve new knowledge extraction problems and play a key role in artificial intelligence systems.
This Special Issue focuses on advances in the modeling of systems and machine learning applications. Topics of interest include, but are not limited to, the following: natural language processing; bioinformatics; social sciences applications; mathematics; operations research; distributed optimization; multi-agent technology; deep learning; and big data paradigms.
Prof. Dr. Zeev Volkovich
Prof. Dr. Oleg Granichin
Dr. Dvora Toledano-Kitai
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Mathematics is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
- Pattern recognition
- Deep learning
- Machine learning
- Big data