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Entropy in Machine Learning Applications

This special issue belongs to the section “Multidisciplinary Applications“.

Special Issue Information

Dear Colleagues,

This Special Issue will include but not be limited to applications using machine learning methods, including construction and application of managed pressure drilling knowledge graphs with extended cross-entropy loss, computational characterization of undifferentially expressed genes with altered transcription regulations, entropy weighted water quality prediction methods based on long-short term memory and data correlation analysis, convolutional networks with cross-entropy as the loss function based on transfer learning for rice disease detection, and semantic disambiguation of advertising vocabulary based on knowledge graphs.

Prof. Dr. Yanchun Liang
Guest Editor

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. Entropy is an international peer-reviewed open access monthly 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 2600 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

knowledge graph
data correlation
differential expression
long–short-term memory
semantic disambiguation
advertising vocabulary
entity relationship extraction
semi-supervised learning
cross-entropy loss
semantic entropy

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