h1

001006157 001__ 1006157
001006157 005__ 20250529050801.0
001006157 0247_ $$2ISSN$$a2835-8856
001006157 0247_ $$2SCOPUS$$aSCOPUS:2-s2.0-86000062879
001006157 0247_ $$2datacite_doi$$a10.18154/RWTH-2025-02288
001006157 037__ $$aRWTH-2025-02288
001006157 041__ $$aEnglish
001006157 1001_ $$0P:(DE-82)1012431$$aRath, Lucas$$b0$$urwth
001006157 245__ $$aDiscovering model structure of dynamical systems with combinatorial bayesian optimization$$honline
001006157 260__ $$a[Amherst, Massachusetts]$$bOpenReview.net$$c2024
001006157 3367_ $$00$$2EndNote$$aJournal Article
001006157 3367_ $$0PUB:(DE-HGF)16$$2PUB:(DE-HGF)$$aJournal Article$$bjournal$$mjournal
001006157 3367_ $$2BibTeX$$aARTICLE
001006157 3367_ $$2DRIVER$$aarticle
001006157 3367_ $$2DataCite$$aOutput Types/Journal article
001006157 3367_ $$2ORCID$$aJOURNAL_ARTICLE
001006157 591__ $$aGermany
001006157 7001_ $$0P:(DE-82)IDM04635$$aVon Rohr, Alexander$$b1$$urwth
001006157 7001_ $$0P:(DE-82)1012432$$aSchultze, Andreas$$b2$$urwth
001006157 7001_ $$0P:(DE-82)IDM03985$$aTrimpe, Johann Sebastian$$b3$$urwth
001006157 7001_ $$0P:(DE-82)IDM00228$$aCorves, Burkhard$$b4$$urwth
001006157 773__ $$0PERI:(DE-600)3159347-1$$n3$$p1-26$$tTransactions on machine learning research$$v2024$$x2835-8856$$y2024
001006157 8564_ $$uhttps://openreview.net/forum?id=2iOOvQmJBK$$yFulltext
001006157 8564_ $$uhttps://publications.rwth-aachen.de/record/1006157/files/1006157.pdf$$yOpenAccess
001006157 909CO $$ooai:publications.rwth-aachen.de:1006157$$popenaire$$popen_access$$pVDB$$pdriver$$pdnbdelivery
001006157 9151_ $$0StatID:(DE-HGF)0031$$2StatID$$aPeer reviewed article$$x0
001006157 915__ $$0StatID:(DE-HGF)0510$$2StatID$$aOpenAccess
001006157 915__ $$0LIC:(DE-HGF)CCBY4$$2HGFVOC$$aCreative Commons Attribution CC BY 4.0
001006157 9141_ $$y2024
001006157 9101_ $$0I:(DE-588b)36225-6$$6P:(DE-82)1012431$$aRWTH Aachen$$b0$$kRWTH
001006157 9101_ $$0I:(DE-588b)36225-6$$6P:(DE-82)IDM04635$$aRWTH Aachen$$b1$$kRWTH
001006157 9101_ $$0I:(DE-588b)36225-6$$6P:(DE-82)1012432$$aRWTH Aachen$$b2$$kRWTH
001006157 9101_ $$0I:(DE-588b)36225-6$$6P:(DE-82)IDM03985$$aRWTH Aachen$$b3$$kRWTH
001006157 9101_ $$0I:(DE-588b)36225-6$$6P:(DE-82)IDM00228$$aRWTH Aachen$$b4$$kRWTH
001006157 9201_ $$0I:(DE-82)422610_20200514$$k422610$$lLehrstuhl für Data Science im Maschinenbau$$x0
001006157 9201_ $$0I:(DE-82)411910_20180101$$k411910$$lLehrstuhl und Institut für Getriebetechnik, Maschinendynamik und Robotik$$x1
001006157 9201_ $$0I:(DE-82)120000_20140620$$k120000$$lFachgruppe Informatik$$x2
001006157 961__ $$c2025-03-10T17:46:35.092347$$x2025-03-10T17:46:35.092347$$z2025-03-11
001006157 980__ $$aI:(DE-82)120000_20140620
001006157 980__ $$aI:(DE-82)411910_20180101
001006157 980__ $$aI:(DE-82)422610_20200514
001006157 980__ $$aUNRESTRICTED
001006157 980__ $$aVDB
001006157 980__ $$ajournal
001006157 9801_ $$aFullTexts