Active learning of model evidence using Bayesian quadrature
Numerical integration is a key component of many problems in scientific computing, statistical modelling, and machine learning. Bayesian Quadrature is a modelbased method for numerical integration which, relative to standard Monte Carlo methods, offers increased sample efficiency and a more robust e...
| Главные авторы: | , , , , , |
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| Формат: | Conference item |
| Опубликовано: |
2012
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