131432 20240209155915.0 sideral 89009 ART-2014-89009 eng Martinez-Cantin, R. (orcid)0000-0002-6741-844X BayesOpt: A Bayesian optimization library for nonlinear optimization, experimental design and bandits 2014 BayesOpt is a library with state-of-the-art Bayesian optimization methods to solve nonlinear optimization, stochastic bandits or sequential experimental design problems. Bayesian optimization characterized for being sample ecient as it builds a posterior distribution to capture the evidence and prior knowledge of the target function. Built in standard C++, the library is extremely ecient while being portable and exible. It includes a common interface for C, C++, Python, Matlab and Octave. Access copy available to the general public Unrestricted info:eu-repo/semantics/openAccess by http://creativecommons.org/licenses/by/3.0/es/ 2.473 2014 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE 22 / 123 = 0.179 2014 Q1 T1 AUTOMATION & CONTROL SYSTEMS 10 / 58 = 0.172 2014 Q1 T1 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion 15 (2014), 3735-3739 J MACH LEARN RES JOURNAL OF MACHINE LEARNING RESEARCH 1532-4435 241921 http://zaguan.unizar.es/record/131432/files/texto_completo.pdf Versión publicada 1935073 http://zaguan.unizar.es/record/131432/files/texto_completo.jpg?subformat=icon icon Versión publicada oai:zaguan.unizar.es:131432 articulos driver 2024-02-09-14:28:02 ARTICLE