Stochastic Algorithms and Their Applications

Dear Colleagues,

Stochastic algorithms are at the core of machine learning and artificial intelligence. Stochastic gradient descent and expectation–maximization algorithms among others offer incredible tools to calibrate statistical models or deep networks. Their studies are of particular interest to ensure garanties on their results, improve their convergence speed and optimize their use in machine learning problems.

The research fields of these algorithms are extremely diverse, ranging from computer vision (CV) to natural language processing (NLP), and targeting emerging applications, such as transport (for example, for autonomous vehicles) or medical data analysis (for example, to propose decision support systems).

We invite you to submit high quality papers for this Special Issue on “Stochastic Algorithms and their Applications”, with subjects covering a whole range of topics, from theory to applications. Both original contributions and review articles will be considered. Submitted articles may focus on any machine learning problem involving this (non-exhaustive) list of topics of interest:

• Stochastic algorithms convergence, acceleration, optimization, etc.
• Adaptation of state-of-the-art stochastic algorithms for new CV, NLP and high dimension data problems
• Application of these stochastic algorithms to environment, transport or medical data and questions

Prof. Stephanie Allassonniere
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 250 words) can be sent to the Editorial Office for assessment.

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. Algorithms 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 1800 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.