★Publication★ All peer-reviewed and presented papers from ICMLC 2026 will be published as post-proceedings in a volume of the Springer book series: Lecture Notes in Networks and Systems. The book series is now indexed by Ei Compendex, Scopus, INSPEC, etc. All books published in the series are submitted for consideration in Web of Science. Accepted papers in ICMLC 2017-2024 have been included in ACM Digital Library, indexed by Ei Compendex, and Scopus successfully. ● ICMLC 2024 Conference Proceedings (ISBN: 979-8-4007-0923-4) | ACM Digital Library | Ei Compendex & Scopus ● ICMLC 2023 Conference Proceedings (ISBN: 978-1-4503-9841-1) | ACM Digital Library | Ei Compendex & Scopus ● ICMLC 2022 Conference Proceedings (ISBN: 978-1-4503-9570-0) | ACM Digital Library | Ei Compendex & Scopus ● ICMLC 2021 Conference Proceedings (ISBN: 978-1-4503-8931-0) | ACM Digital Library | Ei Compendex & Scopus ● ICMLC 2020 Conference Proceedings (ISBN: 978-1-4503-7642-6) | ACM Digital Library | Ei Compendex & Scopus ● ICMLC 2019 Conference Proceedings (ISBN: 978-1-4503-6600-7) | ACM Digital Library | Ei Compendex & Scopus ● ICMLC 2018 Conference Proceedings (ISBN: 978-1-4503-6353-2) | ACM Digital Library | Ei Compendex & Scopus ● ICMLC 2017 Conference Proceedings (ISBN: 978-1-4503-4817-1) | ACM Digital Library | Ei Compendex & Scopus

★Call for papers★

Topics of interest for submission include, but are not limited to:

Track 1: Theoretical Foundations of Machine Learning

*Computational Learning Theory

*Statistical Learning Theory

*PAC Learning

*VC Dimension

Track 2: Supervised Learning

*Linear Regression

*Logistic Regression

*Decision Trees

*Support Vector Machines

Track 3: Unsupervised Learning

*Clustering Analysis

*Association Rule Mining

*Principal Component Analysis

Track 4: Reinforcement Learning

*Q-Learning

*Policy Gradient Methods

*Applications in Robotics and Game AI

Track 5: Deep Learning

*Convolutional Neural Networks

*Recurrent Neural Networks

*Transformer Architecture

Track 6: Applications of Machine Learning

*Computer Vision

*Natural Language Processing

*Bioinformatics

*Business Intelligence and Data Analytics

Track 7: Data Management and Processing

*Big Data Processing

*Data Mining and Knowledge Discovery

*Data Cleaning and Integration

Track 8: Natural Language Processing (NLP)

*Large Language Models (LLMs)

*Multimodal NLP (Text+Vision/Audio)

*Low-Resource/Domain-Specific NLP

Track 9: Human-Computer Interaction in Machine Learning

*User-Friendly Machine Learning Interfaces

*Human-Machine Collaboration

*Visualization of Machine Learning Processes

More Topics, please visit at https://www.icmlc.org/topic.html

★Call for special session★

ICMLC2026 would like to organize more special sessions. If you want to submit your paper or have any ideas about the special session, please contact us.

More info. about the special session, please visit at https://www.icmlc.org/ss.html

★Submission★

1. Full paper (publication and presentation)

2. Abstract (presentation only)

Please submit your paper by Electronic Submission System: https://www.easychair.org/conferences/?conf=icmlc2026

Send your enquiry to icmlcvip.126.com

More details about submission, please visit at https://www.icmlc.org/submission.html

★★Contact

Ms. Doris Ge (Conference Secretary)

Email: icmlcvip.126.com

Tel: +86-13709044746

(Working day: 10:am-5:30pm)