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Bayesian Optimization
Garnett, Roman (Washington University in St Louis)
Bayesian Optimization
Garnett, Roman (Washington University in St Louis)
Bayesian optimization is a methodology that has proven success in the sciences, engineering, and beyond for optimizing expensive objective functions. This self-contained text targets graduate students and researchers in machine learning and statistics – and practitioners from other fields – wishing to harness the power of Bayesian optimization.
150 pages, Worked examples or Exercises
Mídia | Livros Hardcover Book (Livro com lombada e capa dura) |
Lançado | 9 de fevereiro de 2023 |
ISBN13 | 9781108425780 |
Editoras | Cambridge University Press |
Páginas | 358 |
Dimensões | 211 × 259 × 24 mm · 992 g |
Idioma | English |
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