001444547 000__ 03864cam\a2200697\a\4500
001444547 001__ 1444547
001444547 003__ OCoLC
001444547 005__ 20230310003715.0
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001444547 019__ $$a1296429219$$a1296666356
001444547 020__ $$a9783030954703$$q(electronic bk.)
001444547 020__ $$a3030954706$$q(electronic bk.)
001444547 0247_ $$a10.1007/978-3-030-95470-3$$2doi
001444547 035__ $$aSP(OCoLC)1298394917
001444547 040__ $$aEBLCP$$beng$$epn$$cEBLCP$$dGW5XE$$dEBLCP$$dDKU$$dOCLCO$$dOCLCF$$dOCLCO$$dOCLCQ$$dUKAHL$$dOCLCQ
001444547 049__ $$aISEA
001444547 050_4 $$aQ325.5
001444547 08204 $$a006.3/1$$223
001444547 1112_ $$aLOD (Conference)$$n(7th :$$d2021 :$$cGrasmere, England)
001444547 24510 $$aMachine learning, optimization, and data science :$$b7th International Conference, LOD 2021, Grasmere, UK, October 4-8, 2021, Revised selected papers.$$nPart II /$$cGiuseppe Nicosia, Varun Ojha, Emanuele La Malfa, Gabriele La Malfa, Giorgio Jansen, Panos M. Pardalos, Giovanni Giuffrida, Renato Umeton (eds.).
001444547 2463_ $$aLOD 2021
001444547 260__ $$aCham :$$bSpringer,$$c2022.
001444547 300__ $$a1 online resource (571 pages)
001444547 336__ $$atext$$btxt$$2rdacontent
001444547 337__ $$acomputer$$bc$$2rdamedia
001444547 338__ $$aonline resource$$bcr$$2rdacarrier
001444547 347__ $$atext file
001444547 347__ $$bPDF
001444547 4901_ $$aLecture notes in computer science ;$$v13164
001444547 4901_ $$aLNCS sublibrary, SL 3, Information systems and applications, incl. internet/web, and HCI
001444547 500__ $$aIncludes author index.
001444547 5050_ $$aDeep Learning -- Machine Learning -- Reinforcement Learning -- Neural Networks -- Deep Reinforcement Learning -- Optimization -- Global Optimization -- Multi-Objective Optimization -- Computational Optimization -- Data Science -- Big Data -- Data Analytics -- Artificial Intelligence.
001444547 506__ $$aAccess limited to authorized users.
001444547 520__ $$aThis two-volume set, LNCS 13163-13164, constitutes the refereed proceedings of the 7th International Conference on Machine Learning, Optimization, and Data Science, LOD 2021, together with the first edition of the Symposium on Artificial Intelligence and Neuroscience, ACAIN 2021. The total of 86 full papers presented in this two-volume post-conference proceedings set was carefully reviewed and selected from 215 submissions. These research articles were written by leading scientists in the fields of machine learning, artificial intelligence, reinforcement learning, computational optimization, neuroscience, and data science presenting a substantial array of ideas, technologies, algorithms, methods, and applications.
001444547 650_0 $$aMachine learning$$vCongresses.
001444547 650_0 $$aMathematical optimization$$vCongresses.
001444547 650_0 $$aBig data$$vCongresses.
001444547 650_6 $$aApprentissage automatique$$vCongrès.
001444547 650_6 $$aOptimisation mathématique$$vCongrès.
001444547 650_6 $$aDonnées volumineuses$$vCongrès.
001444547 655_7 $$aConference papers and proceedings.$$2fast$$0(OCoLC)fst01423772
001444547 655_0 $$aElectronic books.
001444547 7001_ $$aNicosia, Giuseppe.
001444547 7001_ $$aOjha, Varun.
001444547 7001_ $$aLa Malfa, Emanuele.
001444547 7001_ $$aLa Malfa, Gabriele.
001444547 7001_ $$aJansen, Giorgio.
001444547 7001_ $$aPardalos, P. M.$$q(Panos M.),$$d1954-
001444547 7001_ $$aGiuffrida, Giovanni.
001444547 7001_ $$aUmeton, Renato.
001444547 77608 $$iPrint version:$$aNicosia, Giuseppe.$$tMachine Learning, Optimization, and Data Science.$$dCham : Springer International Publishing AG, ©2022$$z9783030954697
001444547 830_0 $$aLecture notes in computer science ;$$v13164.
001444547 830_0 $$aLNCS sublibrary.$$nSL 3,$$pInformation systems and applications, incl. Internet/Web, and HCI.
001444547 852__ $$bebk
001444547 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-95470-3$$zOnline Access$$91397441.1
001444547 909CO $$ooai:library.usi.edu:1444547$$pGLOBAL_SET
001444547 980__ $$aBIB
001444547 980__ $$aEBOOK
001444547 982__ $$aEbook
001444547 983__ $$aOnline
001444547 994__ $$a92$$bISE