Construct · 1 fields · 1 citations

Bayesian optimization: a standalone construct

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Machine learning

optimizing an expensive black-box function by fitting a statistical surrogate model and choosing each next evaluation by its expected improvement.

In machine learning, Bayesian optimization refers to optimizing an expensive black-box function by fitting a statistical surrogate model and choosing each next evaluation by its expected improvement. This meaning comes from Jones (1998) in Journal of Global Optimization.[1]

Unit
Recovery means
Measured by

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Nearby constructs

function5 fields · 6 citationsjingle · one word, five constructs learning6 fields · 14 citationsjingle · one name, six constructs model3 fields · 3 citationsjingle · one word, three constructs

References

Jones, D. R., Schonlau, M., & Welch, W. J. (1998). Efficient Global Optimization of Expensive Black-Box Functions. Journal of Global Optimization, 13(4), 455-492. https://doi.org/10.1023/a:1008306431147

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