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Bayesian optimization : ウィキペディア英語版
Bayesian optimization
Bayesian optimization is a sequential design strategy
for global optimization of black-box functions.〔Jonas Mockus (2013). Bayesian approach to global optimization: theory and applications. Kluwer Academic.〕
==History==
The term is generally attributed to Jonas Mockus and is coined in his work from a series of publications on global optimization in the 1970s and 1980s.〔Jonas Mockus: On Bayesian Methods for Seeking the Extremum. Optimization Techniques 1974: 400-404〕〔Jonas Mockus: On Bayesian Methods for Seeking the Extremum and their Application. IFIP Congress 1977: 195-200〕〔J. Mockus, Bayesian Approach to Global Optimization. Kluwer Academic Publishers, Dordrecht, 1989〕

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