- TypeConference
- Location Chongqing, China
- Date 27-10-2023 - 29-10-2023
Computer Science
Computer/Technology
Publication
Accepted papers of MLMI 2023 after proper registration and presentation will be published in the Conference Proceedings, which will be submitted for indexing by Ei Compendex, Scopus, etc. (*All the previous Conference Proceedings have been archived in ACM Digital Library and have been indexed by Ei Compendex & Scopus.)
Topics
Topics of interest for submission include, but are not limited to:
- Artificial Neural Networks
- Genetic Algorithms
- Association Rule Learning
- Inductive Logic Programming
- Automata, Logic and Games
- Intelligent Systems
- Bayesian Networks
- Lambda Calculus and Types
- Clustering
- Logic and Proof
- Commercial Software
- Machine Learning
- Commercial Software with Open-Source Editions
- Models of Computation
- Complex Systems
- Object-Oriented Programming
- Computational Complexity
- Open-Source Software
- Computational Learning Theory
- Pattern Recognition
- Computational Linguistics
- Reinforcement Learning
- Computer Animation
- Representation Learning
- Computer Science
- Similarity and Metric Learning
- Computer System
- Sparse Dictionary Learning
- Concurrent Algorithms and Data Structures
- Supervised Learning
- Data Mining
- Support Vector Machines
- Decision Tree Learning
- Unsupervised Learning
- Deep Learning
For more topics, please visit: http://www.mlmi.net/cfp.html
Submission Guideline
⢠English is the official language. Paper should be prepared in English.
⢠Abstract submission is for presentation only without publication.
⢠Full paper submission is for both presentation and publication. (No less than 8 pages)
⢠Submission Methods:
- By online submission system: http://confsys.iconf.org/submission/mlmi2023
- Or Submit to [email protected] as attachment
For more details, please visit: http://www.mlmi.net/submission.html
Contact Us
Conference Secretary: Miss Joie Wu
Email: [email protected]
Tel: +86-18302820449
Website: http://mlmi.net/
Office Hour: Monday-Friday, 9:30-18:00 (GMT+8)