The 16th International Conference on Machine Learning and Computing is the premier forum for new ideas and experimental results in machine learning and computing. The conference specifically seeks particularly forward-looking and novel submissions. Papers are solicited on a broad range of topics, including (but 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
Conference Publication
After peer-reviewing, accepted papers after proper registration and presentation, will be published in the ICMLC 2026 Conference Proceedings.
After reviewing, accepted abstracts will be invited to make the presentation only.
Submission Method
Welcome related scholars, students to submit your full papers or abstracts by Electronic Submission System. or email: icmlc@vip.126.com.
