Fine-tuning algorithm parameters using the design of experiments approach
Optimizing parameter settings is an important task in algorithm design. Several automated parameter tuning procedures/configurators have been proposed in the literature, most of which work effectively when given a good initial range for the parameter values. In the Design of Experiments (DOE), a goo...
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| Main Authors: | , , |
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| Format: | text |
| Language: | English |
| Published: |
Institutional Knowledge at Singapore Management University
2011
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| Subjects: | |
| Online Access: | https://ink.library.smu.edu.sg/sis_research/1338 https://ink.library.smu.edu.sg/context/sis_research/article/2337/viewcontent/FineTuningAlgorithmDoE_lion_2011.pdf |
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| Institution: | Singapore Management University |
| Language: | English |