2024 16th International Conference on Machine Learning and Computing (ICMLC 2024)

2024 16th International Conference on Machine Learning and Computing, which will be held in Shenzhen, China during February 2-5, 2024 and it's workshop: ICBDM 2024. The International Conference on Machine Learning and Computing (ICMLC) is grand annual conference on machine learning algorithms, computational statistics, mathematical optimization, computer engineering, computer science and other related subject since 2009. It will provide opportunities for researchers in this field to share their ideas and reinforce collaboration since 2009. As such, the conference has achieved a remarkable number participants while also enable profuse exchanges among academic and industrial researchers over the years.

The focus of the conference is to establish an effective platform for institutions and industries to share ideas and to present the works of scientists, engineers, educators and students from all over the world. ICMLC conference committees are pleased to invite authors with specialized knowledge and novel innovative thinking to meeting in Zhuhai, China.

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):

Machine Learning
Unsupervised Learning
Meaningful Compression
Computational Theories of Learning
Big Data Visualization
Structure Discovery
Feature Elicitation
Recommender Systems
Targetted Marketing
Multitasking and Transfer Learning
Customer Segmentation
Deep learning
Supervised Learning
Image Classification
Identity Fraud Detection
Customer Retention
Diagnositics
Population Growth Prediction
Advertising Popularity Prediction
Weather Forecasting
Market Forecasting
Estimating Life Expectancy
Intelligent Search
Data Access
Statistical Learning
Reinforcement Learning
Real-time Decisions
Robot Navigation
Game AI
Skill Acquisition
Learning Tasks
Data Mining
Intelligent Systems
Complex Systems
Neural Networks and applications

Computing
Computer Modeling
Parallel Computing
Quantum Computing
High Performance Computing
Distributed and parallel systems
Cognitive Computing
Cloud Computing
Distributed Computing
Grid Computing
Embedded Computing
Scientific Computing
Scalable Computing
Human-centred Computing
Mobile computing
Simulation