Adaptive Online Sequential ELM for Concept Drift Tackling

Keyphrases

• Adaptive Capacity 14%
• Change Type 14%
• Classification Problem 28%
• Concept Drift 100%
• Context Change 14%
• Hidden Node 28%
• High-κ 14%
• Indicator Parameters 14%
• Kappa Coefficient 14%
• Lines of Code 14%
• Machine Learning Techniques 14%
• MNIST 14%
• Multiple Classifier System 14%
• Online Sequential Extreme Learning Machine (OSELM) 100%
• Pseudo-inverse Matrix 14%
• Public Dataset 28%
• Regression Problem 28%
• Single Classifier 14%
• Sudden Drift 14%
• Time Change 14%
• Underfitting 14%
• Unified Method 14%

Computer Science

• Classification Problem 50%
• Concept Drift 100%
• Context Change 25%
• Error Condition 25%
• Extreme Learning Machine 75%
• Lines of Code 25%
• Machine Learning 25%
• Public Data Set 50%
• Regression Problem 50%
• Unified Method 25%