Optimal combination of feature weight learning and classification based on local approximation

Mathematics

• Local Approximation 100%
• Classification Algorithm 79%
• Learning 75%
• Classifier 62%
• Feature Weighting 56%
• Hyperplane 52%
• Pattern Classification 39%
• Discriminant Analysis 32%
• Performance 32%
• Cross-validation 31%
• Prototype 30%
• Nearest Neighbor 28%
• Explicit Solution 27%
• Benchmark 27%
• Heuristics 23%
• Experiment 20%
• Projection 20%
• Model 18%
• Demonstrate 16%

Engineering & Materials Science

• Classifiers 39%
• Discriminant analysis 29%
• Pattern recognition 24%
• Experiments 9%