The 18th 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