TABLE III.
Primary Parameters Used in TFC-ALC
| Parameters | Suggested settings | Trial Ranges |
|---|---|---|
| Regularization parameter λ in KL-TFCM in (1) | λ = 500 | λ ∈ {10,50,100,200,500,800,1000,2000,5000,10000} |
| Regularization parameter l and Gaussian kernel width σ used in SVM in (7) | Determined by 5-fold cross-validation |
l ∈ {2^-6,2^-3,2^-1,2^1,2^2,2^3,2^4,2^5,2^6} σ ∈ {2^-6τ,2^-3τ,2^-1τ,2^1τ,2^2τ,2^3τ,2^4τ,2^5τ,2^6τ}, where τ denotes the average distance among all data instances. |
| Parameter ssIII to constitute initial training set; Parameter srIII to sample wrongly classified subsets; Parameter p to pick up the pth nearest neighbor to update training sets during active learning in Phase III |
ssIII = 4000; srIII = 40%; p = 3 |
ssIII ∈ {1000,2000,3000,4000,5000,6000} srIII ∈ {15%,20%,25%,30%,35%,40%} p ∈ {1,2,3,4,5,6,7} |
| Parameter scIV to obtain SBIV and parameter K for KNN in Phase IV |
scIV = 2E4; K = 7 |
scIV ∈ {1E4,2E4,3E4,4E4,5E4,6E4} K ∈ {1,3,5,7,9,11} |