| Methodology |
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| 1. | Select algorithm |
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| 2. | Select set
of input distributions |
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| 3. | Factor out known sources of hardness |
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| 4. | Choose features |
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| 5. | Generate instances |
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| 6. | Compute running time, features |
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| 7. | Learn a model of running time |
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