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| isbn=978-1107163447
| url = https://www.probabilistic-numerics.org/assets/ProbabilisticNumerics.pdf
}}</ref> that does not assume any functional forms. It is usually employed to optimize expensive-to-evaluate functions. With the rise of artificial intelligence in the 21st century, Bayesian optimizations have found prominent use in machine learning hyperparameter optimization problems.<ref>{{cite journal |first=Jasper|last=Snoek |title=Practical Bayesian Optimization of Machine Learning Algorithms |journal=Advances in Neural Information Processing Systems 25 (NIPS 2012) |year=2012}}</ref>
==History==
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