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  • Francesco Archetti; Antonio Candelieri
    978-3-030-24494-1
    2019
    Edition 1
    • Gives readers an idea of the potential of the application of Bayesian Optimization to both traditional feels and emerging ones
    • Provides full and updated coverage of the areas of constrained Bayesian Optimization and Safe Bayesian Optimization
    • Covers software resources, allowing readers to make informed and educated choices among the different platforms available to set up Bayesian Optimization components in academic and industrial activities
    • Allows a full understanding of the basic algorithmic framework, including recent proposals about acquisition functions

    €130

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