Partial Multilabel Learning Using Noise-Tolerant Broad Learning System With Label Enhancement and Dimensionality Reduction

Keyphrases

• Dimensionality Reduction 100%
• Multi-label Learning 100%
• Label Refinement 100%
• Noise-tolerant 100%
• Broad Learning System 100%
• Enhancement Mechanism 40%
• Feature Space 40%
• Redundancy 40%
• Noisy Labels 40%
• Label Space 40%
• Training Data 20%
• Synthetic Data 20%
• Evaluation Metrics 20%
• Learning Problems 20%
• Innovative Mechanism 20%
• Enhancement Techniques 20%
• Model Efficiency 20%
• Novel Joint 20%
• Confidence-based 20%
• Novel Labels 20%
• Noisy Supervision 20%
• Ambiguity Problem 20%
• Overcomplete Set 20%
• Multi-label Task 20%
• Low-dimensional Feature Space 20%

Computer Science

• Dimensionality Reduction 100%
• Broad Learning System 100%
• Feature Space 66%
• Training Data 33%
• Evaluation Metric 33%
• Learning Problem 33%
• Synthetic Datasets 33%
• Dimensional Feature Space 33%

Engineering

• Dimensionality 100%
• Learning System 100%
• Feature Space 66%
• Joints (Structural Components) 33%
• Metrics 33%
• Dimensional Feature Space 33%