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Télécharger le livre : Multiple Information Source Bayesian Optimization
Francesco Archetti , Antonio Candelieri , Andrea Ponti
Multiple Information Source Bayesian Optimization
The book provides a comprehensive review of multiple information sources and multi-fidelity Bayesian optimization, specifically focusing on the novel "Augmented Gaussian Process” methodology.The book is important to clarify the relations and the important differences in...
Editeur : Springer
Parution : 2025-08-30

Format(s) : PDF, ePub
52,74 €
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Télécharger le livre : Bayesian Optimization and Data Science
Francesco Archetti , Antonio Candelieri
Bayesian Optimization and Data Science
This volume brings together the main results in the field of Bayesian Optimization (BO), focusing on the last ten years and showing how, on the basic framework, new methods have been specialized to solve emerging problems from machine learning, artificial intelligence,...
Editeur : Springer
Parution : 2019-09-25
Collection : SpringerBriefs in Optimization
Format(s) : PDF, ePub
68,56 €
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