International Conference on Machine Learning and Machine Intelligence on August 02-04, 2024 in Osaka, Japan

International Conference on Machine Learning and Machine Intelligence on August 02-04, 2024 in Osaka, Japan

Publication:

Accepted papers after proper registration and presentation will be published in the International Conferen ce Proceedings Series by ACM (ISBN: 979-8-4007-1783-3), which will be archived in the ACM Digital Library, and indexed 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 (*All the previous Conference Proceedings have been archived in ACM Digital Library and have been indexed by Ei Compendex & Scopus.)

 

Keynote Speakers:

Prof. Hiroyuki Kudo, University of Tsukuba, Japan

Prof. Ce Zhu (IEEE Fellow), University of Electronic Science and Technology of China, China

Prof. Amir Hussain, Edinburgh Napier University, UK

Prof. Yen-Wei Chen, Ritsumeikan University, Japan

 

Invited Speakers:

Assoc. Prof. Guangyu Gao, Beijing Institute of Technology, China

Assoc. Prof. Porawat Visutsak, King Mongkut’s University of Technology North Bangkok, Thailand

Assoc. Prof. Zheng-Ming Gao, Jingchu University of Technology, China

Prof. Jiarong Yang, Shanghai Electric Group Co., Ltd., Central Academe, China

 

Contact Us :

Conference Secretary: Miss Joie Wu

Email: [email protected]

Tel: +86-18302820449

Website: http://mlmi.net/

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

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

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