Ensemble methods for multi-label classification

Keyphrases

• Ensemble Methods 100%
• Multi-label Classification 100%
• Random Selection 66%
• Label Correlation 66%
• Construction Constraints 66%
• Label Set 66%
• Set Covering Problem 66%
• Performance Prediction 33%
• Classification Accuracy 33%
• Selected Subset 33%
• Approximation Algorithms 33%
• Effective Tool 33%
• Offline Algorithm 33%
• Classification Task 33%
• Subset Selection 33%
• Single Label 33%
• Label Cover 33%
• Construction Criteria 33%
• Classification Consistency 33%
• Multi-label Data 33%
• Element Combination 33%

Computer Science

• Random Selection 100%
• Ensemble Method 100%
• Set Covering Problem 100%
• Classification Accuracy 50%
• Approximation Algorithms 50%
• Experimental Result 50%
• Classification Task 50%
• Feature Subset Selection 50%
• Prediction Performance 50%