Research map / Learning theory and algorithms / Kernels and regression theory
Fast Incremental SVDD Learning Algorithm with the Gaussian Kernel
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use FISVDD instead of Incremental SVM | SVDD · Shuttle | training time (s): 22923.57 -> 251.01 | Helped |
| Use FISVDD instead of Incremental SVM | SVDD · CoverType | training time (s): 12954.81 -> 19.47 | Helped |
| Use FISVDD instead of Incremental SVM | SVDD · Mammography | training time (s): 67.01 -> 1.19 | Helped |
| Use FISVDD instead of Incremental SVM | SVDD · Smtp | training time (s): 2.49 -> 0.27 | Helped |
| Use FISVDD instead of Incremental SVM | SVDD · Shuttle | objective function value: 1.7369e-3 -> 1.7378e-3 | Hurt |
| Use FISVDD instead of Incremental SVM | SVDD · CoverType | objective function value: 1.14155e-2 -> 1.14158e-2 | Hurt |
| Use FISVDD instead of Incremental SVM | SVDD · Mammography | objective function value: 9.8008e-3 -> 9.8134e-3 | Hurt |
| Use FISVDD instead of Incremental SVM | SVDD · Smtp | objective function value: 0.393 -> 0.393 | No clear effect |
| Discard interior points during incremental learning | FISVDD · Shuttle, CoverType, Mammography, and SMTP | F-1 measure | No clear effect |
Closest papers by meaning
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