Research map / Learning theory and algorithms / Kernels and regression theory
Equivalence of Multicategory SVM and Simplex Cone SVM: Fast Computations and Statistical Theory
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Solve MSVM through the equivalent unconstrained SC-SVM instead of primal MSVM | Multicategory SVM · K=3, n=5000 | computation time (s): 9740.4 -> 7.7 | Helped |
| Solve MSVM through SC-SVM instead of dual MSVM | Multicategory SVM · K=3, n=5000 | computation time (s): 887.5 -> 7.7 | Helped |
| Solve MSVM through SC-SVM instead of primal MSVM | Multicategory SVM · K=3, n=200 | computation time (s): 5.5 -> 0.1 | Helped |
| Solve MSVM through SC-SVM instead of dual MSVM | Multicategory SVM · K=3, n=1000 | computation time (s): 8.2 -> 0.4 | Helped |
| Use studentized distances instead of raw One-vs-Rest distances for classification | One-vs-Rest SVM · classification | classification reliability | Helped |
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