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Growing Adaptive Multi-hyperplane Machines
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| add weight duplication (GAMM) to AMM training | AMM · real-world datasets (usps, letter, ijcnn1, rcv1, mnist) | error rate | Helped |
| add weight duplication (GAMM) to AMM training | AMM · 4x4 checkerboard | error rate: 35.87% to 7.38% | Helped |
| add weight duplication (GAMM) to AMM training | AMM · checkerboard grids 1x2 to 5x5 | error rate: gap grows with complexity, e.g. 43.27 to 22.15 on 5x5 | Helped |
| add weight duplication (GAMM) to AMM training | AMM · noisy 4x4 checkerboard | accuracy | Helped |
| add weight duplication (GAMM) to AMM training | AMM · weights data (nw=200, D=20) | accuracy | Helped |
| weight duplication increases training time relative to AMM | AMM · mnist training time | training time: 4min (AMM) to 19min (GAMM) | Hurt |
| GAMM on rcv1 vs RBF-SVM | GAMM · rcv1 | error rate: 2.11 vs 2.171 | No clear effect |
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