001461714 000__ 02839cam\a22005537a\4500
001461714 001__ 1461714
001461714 003__ OCoLC
001461714 005__ 20230503003407.0
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001461714 007__ cr\un\nnnunnun
001461714 008__ 230328s2023\\\\nyua\\\\o\\\\\001\0\eng\d
001461714 020__ $$a9781484290637$$q(electronic bk.)
001461714 020__ $$a1484290631$$q(electronic bk.)
001461714 020__ $$z1484290623
001461714 020__ $$z9781484290620
001461714 0247_ $$a10.1007/978-1-4842-9063-7$$2doi
001461714 035__ $$aSP(OCoLC)1374035348
001461714 040__ $$aYDX$$beng$$cYDX$$dORMDA$$dGW5XE$$dEBLCP$$dOCLCF
001461714 049__ $$aISEA
001461714 050_4 $$aQA279.5
001461714 08204 $$a519.5/42$$223/eng/20230329
001461714 1001_ $$aLiu, Peng,$$eauthor.
001461714 24510 $$aBayesian optimization :$$btheory and practice using Python /$$cPeng Liu.
001461714 260__ $$aNew York, NY :$$bApress,$$c2023.
001461714 300__ $$a1 online resource (xv, 234 pages) :$$billustrations (black and white, and colour).
001461714 500__ $$aIncludes index.
001461714 5050_ $$aChapter 1: Bayesian Optimization Overview -- Chapter 2: Gaussian Process -- Chapter 3: Bayesian Decision Theory and Expected Improvement -- Chapter 4 : Gaussian Process Regression with GPyTorch -- Chapter 5: Monte Carlo Acquisition Function with Sobol Sequences and Random Restart -- Chapter 6 : Knowledge Gradient: Nested Optimization versus One-shot Learning -- Chapter 7 : Case Study: Tuning CNN Learning Rate with BoTorch.
001461714 506__ $$aAccess limited to authorized users.
001461714 520__ $$aThis book covers the essential theory and implementation of popular Bayesian optimization techniques in an intuitive and well-illustrated manner. The techniques covered in this book will enable you to better tune the hyperparemeters of your machine learning models and learn sample-efficient approaches to global optimization.
001461714 588__ $$aDescription based on print version record.
001461714 650_0 $$aBayesian statistical decision theory$$xData processing.
001461714 650_0 $$aPython (Computer program language)
001461714 650_0 $$aMathematical optimization.
001461714 655_0 $$aElectronic books.
001461714 77608 $$iPrint version: $$z1484290623$$z9781484290620$$w(OCoLC)1349562792
001461714 852__ $$bebk
001461714 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-1-4842-9063-7$$zOnline Access$$91397441.1
001461714 909CO $$ooai:library.usi.edu:1461714$$pGLOBAL_SET
001461714 980__ $$aBIB
001461714 980__ $$aEBOOK
001461714 982__ $$aEbook
001461714 983__ $$aOnline
001461714 994__ $$a92$$bISE