2023 The 6th International Conference on Machine Learning and Machine Intelligence (mlmi 2023)

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 (*All the previous Conference Proceedings have been archived in ACM Digital Library and have been indexed by Ei Compendex & Scopus.)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 mlmi@iacsit.net as attachment
For more details, please visit: http://www.mlmi.net/submission.html

Contact Us
Conference Secretary: Miss Joie Wu
Email: mlmi@iacsit.net
Tel: +86-18302820449
Website: http://mlmi.net/
Office Hour: Monday-Friday, 9:30-18:00 (GMT+8)