Probability, Stochastic Processes 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: 15 February 2025 | Viewed by 211
Special Issue Editors
Interests: multifractional process; statistical inferences; Malliavin calculus; stochastic differential equations; stochastic modeling; process simulation; unsupervised learning on processes; approximation theory; graph theory
Interests: cross-layer wireless network protocols; ad hoc networks; resource allocation; directional networks; cognitive networks
Special Issues, Collections and Topics in MDPI journals
Interests: artificial intelligence (AI); embedded hardware; neuromorphic computing; nano-scale computing system with novel silicon and post-silicon devices, and low-power digital and mixed-signal CMOS circuit design
Special Issues, Collections and Topics in MDPI journals
Interests: statistical inferences; health economics; econometrics; applied microeconomics
Special Issue Information
Dear Colleagues,
This Special Issue on "Probability, Stochastic Processes and Machine Learning" aims to discuss the advances at the intersection of probability theory, stochastic processes, machine learning, and their real-world applications. As machine learning has been successfully applied to an increasing number of fields, new challenges arise from applying traditional machine learning approaches to new data structures, such as images, stochastic processes, and high-dimensional signals. This issue aims to collect high-quality research works on the discussion of machine learning on high-dimensional datasets, or datasets which are indexed by time. Both methodologies and successful real-world applications will be appreciated.
Dr. Qidi Peng
Prof. Dr. Sunil Kumar
Dr. Yu Bai
Guest Editors
Dr. Chengcheng Zhang
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
- cluster analysis
- signal processing
- image recognition
- natural language processing
