Machine Learning and ELM

Machine Learning and ELM is a research topic within Artificial Intelligence. Science Explorer counts 14k research works in it since 1965. 9.9% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on the theory, applications, and advancements in Extreme Learning Machines (ELM), a machine learning framework based on feedforward neural networks with random hidden nodes. The papers cover topics such as incremental learning, classification, regression, ensemble methods, kernel-based models, and their applications in various domains.

• Extreme Learning Machine
• Feedforward Networks
• Incremental Learning
• Random Hidden Nodes
• Classification
• Regression
• Neural Networks
• Online Sequential Learning
• Ensemble Learning
• Kernel Methods