Advances in Machine Learning, Volume II
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Computer Science & Engineering".
Deadline for manuscript submissions: closed (30 April 2024) | Viewed by 1770
Special Issue Editors
Interests: machine learning; artificial intelligence; data mining
Special Issues, Collections and Topics in MDPI journals
Interests: computer vision; pattern recognition; biometrics
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Today, machine learning, which aims to teach computers in a bid to make them act like humans, has become essential. A number of algorithms, techniques, and methodologies have been proposed for a variety of tasks, including autonomous driving, game playing, disease diagnosis and treatment, fraud detection, spam filtering, speech recognition, object detection, search, and recommendation.
This Special Issue is seeking high-quality research papers in all areas of machine learning. It is open to well-organized reviews as well as application papers. Topics include but are not limited to the following:
- Deep learning;
- Reinforcement learning;
- Automated machine learning;
- On-device learning;
- Transfer learning;
- Meta learning;
- Application of machine learning in real-world domains.
Prof. Dr. Jihoon Yang
Dr. Unsang Park
Guest Editors
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 submissions that pass pre-check are 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. Electronics 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 2400 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.
Keywords
- machine learning
- deep learning
- data mining and analysis