Advances in Algorithm Design and Machine Learning

A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "Mathematics and Computer Science".

Deadline for manuscript submissions: 28 February 2025 | Viewed by 304

Special Issue Editors


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Guest Editor
School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China
Interests: data mining; big data and their applications; complex systems and network analysis; algorithm design; deep neural networks

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Guest Editor
School of Information Management, Sun Yat-sen University, Guangzhou 510005, China
Interests: data ming; socia media mining; text anlytics; social networks; deep learning applications

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Guest Editor Assistant
School of Computer Science and Software Engineering, Southwest Petroleum University, Chengdu, China
Interests: data mining; big data and their applications; algorithm design; human–machine coordination

Special Issue Information

Dear Colleagues,

We are pleased to announce a call for papers for the upcoming Special Issue, entitled “Advances in Algorithm Design and Machine Learning”. This Special Issue seeks to publish rigorous research articles that contribute to the advancement of algorithmic frameworks and machine learning methodologies. It will serve as a platform for disseminating research that demonstrates significant theoretical developments or practical applications.

We welcome submissions that cover a range of topics, including, but not limited to, the following:

  • Advanced optimization techniques for machine learning models;
  • Innovative deep learning methodologies;
  • Probabilistic and statistical models for machine intelligence;
  • Algorithms for large-scale data processing and analysis;
  • Reinforcement learning strategies for complex systems;
  • Approaches to transfer learning and domain adaptations;
  • Algorithm analysis for deep neural networks;
  • Algorithm design for natural language processing;
  • Algorithm design for computer vision;
  • Algorithm design for large-scale data annotations

Dr. Zhen Liu
Dr. Xiaodong Feng
Guest Editors

Dr. Wenbo Xie
Guest Editor Assistant

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. 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 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

  • algorithm design
  • machine learning and deep learning
  • optimization techniques for machine learning
  • large-scale data processing
  • recommendation systems
  • complex systems and network analysis
  • deep neural networks
  • statistical learning
  • natural language processing

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Published Papers

This special issue is now open for submission.
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