2023 International Conference on Frontiers of Artificial Intelligence and Statistics (cfais 2023)

2023 International Conference on Frontiers of Artificial Intelligence and Statistics (cfais 2023)
اگست
18

Nanjing,China

نانجنگ, چین نقشہ

★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: info@cfais.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

zeng zofia
Organizer:
 zeng zofia