03530nam 22006615 450 991034931950332120220317143448.03-030-24494-610.1007/978-3-030-24494-1(CKB)4100000009374873(DE-He213)978-3-030-24494-1(MiAaPQ)EBC5905199(PPN)25886320X(EXLCZ)99410000000937487320190925d2019 u| 0engurnn#008mamaatxtrdacontentcrdamediacrrdacarrierBayesian Optimization and Data Science /by Francesco Archetti, Antonio Candelieri1st ed. 2019.Cham :Springer International Publishing :Imprint: Springer,2019.1 online resource (XIII, 126 p. 52 illus., 39 illus. in color.)SpringerBriefs in Optimization,2190-83543-030-24493-8 1. Automated Machine Learning and Bayesian Optimization -- 2. From Global Optimization to Optimal Learning -- 3. The Surrogate Model -- 4. The Acquisition Function -- 5. Exotic BO -- 6. Software Resources -- 7. Selected Applications.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, and system optimization. It also analyzes the software resources available for BO and a few selected application areas. Some areas for which new results are shown include constrained optimization, safe optimization, and applied mathematics, specifically BO's use in solving difficult nonlinear mixed integer problems. The book will help bring readers to a full understanding of the basic Bayesian Optimization framework and gain an appreciation of its potential for emerging application areas. It will be of particular interest to the data science, computer science, optimization, and engineering communities.SpringerBriefs in Optimization,2190-8354Operations researchManagement scienceMachine learningComputer softwareStatistics Operations Research, Management Sciencehttps://scigraph.springernature.com/ontologies/product-market-codes/M26024Machine Learninghttps://scigraph.springernature.com/ontologies/product-market-codes/I21010Mathematical Softwarehttps://scigraph.springernature.com/ontologies/product-market-codes/M14042Bayesian Inferencehttps://scigraph.springernature.com/ontologies/product-market-codes/S18000Operations research.Management science.Machine learning.Computer software.Statistics .Operations Research, Management Science.Machine Learning.Mathematical Software.Bayesian Inference.519.6519.542Archetti Francescoauthttp://id.loc.gov/vocabulary/relators/aut60966Candelieri Antonioauthttp://id.loc.gov/vocabulary/relators/autMiAaPQMiAaPQMiAaPQBOOK9910349319503321Bayesian Optimization and Data Science2498803UNINA