A graph-based consensus maximization approach for combining multiple supervised and unsupervised models

Mathematics

• Graph in graph theory 89%
• Prediction 89%
• Model 63%
• Ensemble 55%
• Labeling 54%
• Performance Prediction 41%
• Model Averaging 39%
• Multiple Models 35%
• Training 29%
• Ranking 28%
• Experimental Results 27%
• Bipartite Graph 25%
• Propagation 25%
• Deviation 25%
• Optimality 23%
• Robustness 23%
• Objective function 23%
• Smoothness 23%
• Output 20%
• Costs 20%
• Alternatives 17%
• Vertex of a graph 15%
• Estimate 12%
• Class 8%

Engineering & Materials Science

• Learning systems 44%
• Labeling 42%
• Labeled data 25%
• Labels 18%
• Set theory 13%
• Costs 8%