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This repository provides the implementation of benchmark functions for Bayesian optimization. The details of benchmark functions can be found in these notes. It is available at https://github.com/jungtaekkim/bayeso-benchmarks.
Benchmarks, BayesO, Global optimization, Bayesian optimization, Python
Benchmarks, BayesO, Global optimization, Bayesian optimization, Python
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
| views | 8 |

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