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    2023 International Conference on Frontiers of Mathematics and Artificial Intelligence(CFMAI 2023)

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    Website https://www.cfmai.org/ | Want to Edit it Edit Freely

    Category Mathematics; Artificial Intelligence

    Deadline: August 15, 2023 | Date: September 22, 2023-September 24, 2023

    Venue/Country: Hangzhou, China, China

    Updated: 2023-06-05 16:57:00 (GMT+9)

    Call For Papers - CFP

    ★2023 4th International Conference on Frontiers of Artificial Intelligence and Statistics (CFAIS 2023)--Ei Compendex & Scopus—Call for paper

    August 18-20, 2023｜Nanjing, China｜Website: www.cfais.org

    ★CFAIS 2023 welcomes researchers, engineers, scientists and industry professionals to an open forum where advances in the field of Artificial Intelligence and Statistics can be shared and examined. The conference is an ideal platform for keeping up with advances and changes to a consistently morphing field. Leading researchers and industry experts from around the globe will be presenting the latest studies through papers and oral presentations.

    ★Publication and Indexing

    Accepted and presented papers of CFAIS 2023 will be published in the digital conference proceedings which will submitted to Ei Compendex, Scopus, CPCI, Google Scholar and other major databases for index.

    Excellent papers will be recommended to be published in the journal.

    ★Keynote Speakers

    Prof. Weifeng Gao——Xidian University, China

    ★Program Preview/ Program at a glance

    August 18: Registration + Icebreaker Reception

    August 19: Opening Ceremony+ KN Speech+ Technical Sessions

    August 20: Technical Sessions+ Half day tour/Lab tours

    ★Paper Submission

    PDF version submit via CMT: https://cmt3.research.microsoft.com/CFAIS2023

    ★CONTACT US

    Ms. Riva H. W. Wong

    Email: infoatcfais.org

    Website: www.cfais.org

    ★Topics of Interest

    Approximate inference

    Bayesian learning

    Business process intelligence

    Causal models

    Classification

    Clustering

    Density estimation

    Federated learning

    Gaussian processes

    Generalization and regularization

    Graphical models

    High-performance computation

    Intelligent optimization

    Kernel and spectral methods

    Large-scale optimization algorithm

    Logic and probability

    Manifolds learning

    Multi-agent systems

    Non-Bayesian models and estimation

    Nonparametric models

    No-regret learning

    Optimization for deep learning

    Privacy-preserving learning

    Reinforcement learning

    Software and applications of artificial intelligence

    Sparsity and compressed sensing

    Statistical and computational learning theory

    Statistical optimization

    Structural learning and prediction

    Unsupervised and semi-supervised learning

    Keywords: Accepted papers list. Acceptance Rate. EI Compendex. Engineering Index. ISTP index. ISI index. Impact Factor.
    Disclaimer: ourGlocal is an open academical resource system, which anyone can edit or update. Usually, journal information updated by us, journal managers or others. So the information is old or wrong now. Specially, impact factor is changing every year. Even it was correct when updated, it may have been changed now. So please go to Thomson Reuters to confirm latest value about Journal impact factor.