Integration Algorithms | Computation Time | Stability | Characteristics |
---|---|---|---|
Graph-based semi-supervised learning | Low | Medium | Tuning parameter; performance can be poor sometimes |
Graph sharpening integration | Low | Low | Tuning parameter; average weights frequently occur |
Composite association network | Low | High | Average weights occur when all weights are negative |
Bayesian network | Low | Low | Bins selection and training sample size affect performance |
Semi-definite programming SVM | Medium | Low | Two tuning parameters; C is very sensitive to outliers |
Relevance vector machine | High | High | Long training time; Probabilistic result |
Ada-boost relevance vector machine | High | Medium | Resampling size and iteration can be hard to determine |