A dynamic multiple classifier system using graph neural network for high dimensional overlapped data

Keyphrases

• Dynamic Selection 100%
• Multiple Classifier System 100%
• Graph Neural Network 100%
• Overlapped Data 100%
• Selection Strategy 75%
• Local Region 50%
• Selection Task 50%
• Local Distribution 50%
• State-of-the-art Techniques 25%
• Incompetence 25%
• High Dimension 25%
• Classifier Combination 25%
• GitHub 25%
• High-dimensional Data 25%
• Negative Impact 25%
• Embedding Space 25%
• Static Selection 25%
• Sparse Data 25%
• Combination Rule 25%
• Labeled Graph 25%
• Class Overlap 25%
• Poor Region 25%
• Perceived Competence 25%
• Dynamic Classifier 25%
• Task Meaning 25%
• Competencies 25%
• Meta-learner 25%
• Overlapping Region 25%
• Interdependency 25%

Computer Science

• Graph Neural Network 100%
• Multiple Classifier Systems 100%
• Selection Task 100%
• Local Distribution 100%
• High Dimensionality 50%
• Experimental Result 50%
• Negative Impact 50%
• Surrounding Region 50%
• Combination Rule 50%
• Overlap Region 50%