International Conference on Machine Learning and Machine Intelligence on July 25-27, 2025 in Kyoto, Japan

International Conference on Machine Learning and Machine Intelligence on July 25-27, 2025 in Kyoto, Japan

Publication:

Submitted papers will be peer reviewed by conference committees, and accepted papers after proper registration and presentation will be published in the Conference Proceedings of MLMI 2025. (*All the previous Conference Proceedings have been archived in ACM Digital Library and have been indexed by Ei Compendex & Scopus.)

 

Conference Chairs :

Yen-Wei Chen, Ritsumeikan University, Japan

James Tin-Yau Kwok, Hong Kong University of Science and Technology, Hong Kong, China

Jianhua Zhang, Oslo Metropolitan University, Norway

 

Advisory Chairs :

Hongchun Qu, Chongqing University of Posts and Telecommunications, China

Jianjun Li, Hangzhou Normal University, China

 

Contact Us:

Conference Secretary: Miss Joie Wu

Email: [email protected]

Tel: +86-18302820449

Website: http://mlmi.net/

 

- 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

Name: International Association of Computer Science and Information Technology
Website: http://www.iacsit.org/

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