Bayesian Optimization Roman Garnett Cambridge University Press Αγγλικά Βιβλία Computing And Technology

Bayesian Optimization Is A Methodology For Optimizing Expensive Objective Functions That Has Proven Success In The Sciences Engineering And Beyond This Timely Text Provides Self-Contained Comprehensive Introduction To Subject Starting From Scratch Carefully Developing All Key Ideas Along Way Bottom-Up Approach Illuminates Unifying Themes Design Of Algorithms Builds Solid Theoretical Foundation Approaching Novel Situations Core Book Divided Into Three Main Parts Covering Practical Aspects Gaussian Process Modeling Sequential Decision Making Realization Computation Effective Policies Following Foundational Material An Overview Convergence Results Survey Notable Extensions History Extensive Annotated Bibliography Applications Σελίδες: 358 Διαστάσεις: 20 9X20 9Cm