@prefix ocrer: <http://purl.org/net/OCRe/research.owl#> .
@prefix owl:   <http://www.w3.org/2002/07/owl#> .
@prefix scires: <http://vivoweb.org/ontology/scientific-research#> .
@prefix xsd:   <http://www.w3.org/2001/XMLSchema#> .
@prefix skos:  <http://www.w3.org/2004/02/skos/core#> .
@prefix rdfs:  <http://www.w3.org/2000/01/rdf-schema#> .
@prefix ocresd: <http://purl.org/net/OCRe/study_design.owl#> .
@prefix swo:   <http://www.ebi.ac.uk/efo/swo/> .
@prefix cito:  <http://purl.org/spar/cito/> .
@prefix geo:   <http://aims.fao.org/aos/geopolitical.owl#> .
@prefix ocresst: <http://purl.org/net/OCRe/statistics.owl#> .
@prefix dcterms: <http://purl.org/dc/terms/> .
@prefix vivo:  <http://vivoweb.org/ontology/core#> .
@prefix event: <http://purl.org/NET/c4dm/event.owl#> .
@prefix vann:  <http://purl.org/vocab/vann/> .
@prefix foaf:  <http://xmlns.com/foaf/0.1/> .
@prefix c4o:   <http://purl.org/spar/c4o/> .
@prefix fabio: <http://purl.org/spar/fabio/> .
@prefix vcard: <http://www.w3.org/2006/vcard/ns#> .
@prefix thkoeln: <http://cris.nrw/hisinone#> .
@prefix vitro: <http://vitro.mannlib.cornell.edu/ns/vitro/0.7#> .
@prefix vitro-public: <http://vitro.mannlib.cornell.edu/ns/vitro/public#> .
@prefix rdf:   <http://www.w3.org/1999/02/22-rdf-syntax-ns#> .
@prefix ocresp: <http://purl.org/net/OCRe/study_protocol.owl#> .
@prefix bibo:  <http://purl.org/ontology/bibo/> .
@prefix obo:   <http://purl.obolibrary.org/obo/> .
@prefix ro:    <http://purl.obolibrary.org/obo/ro.owl#> .

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        rdfs:label  "Hyperparameter Tuning for Machine and Deep Learning with R" ;
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                <https://fis.th-koeln.de/vivo/individual/publ_13986> .

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        a       thkoeln:Zitat , owl:Thing .

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        rdfs:label  "Institut für Data Science, Engineering, and Analytics" ;
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                <https://fis.th-koeln.de/vivo/individual/publ_13986> .

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        thkoeln:dokumententyp   "Wissenschaftlicher Artikel" ;
        thkoeln:peerReviewed    "true" ;
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        thkoeln:status          "validiert" ;
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                <https://fis.th-koeln.de/vivo/individual/cite_13986-0> , <https://fis.th-koeln.de/vivo/individual/cite_13986-1> , <https://fis.th-koeln.de/vivo/individual/cite_13986-2> ;
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                <http://cris.nrw/hisinone/OpenAccess> ;
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        <http://purl.org/dc/elements/1.1/rights>
                <https://fis.th-koeln.de/vivo/termsOfUse> ;
        bibo:abstract           "This chapter provides a broad overview over the different hyperparameter tunings. It details the process of HPT, and discusses popular HPT approaches and difficulties. It focuses on surrogate optimization, because this is the most powerful approach. It introduces Sequential Parameter Optimization Toolbox (SPOT) as one typical surrogate method. SPOT is well established and maintained, open source, available on Comprehensive R Archive Network (CRAN), and catches mistakes. Because SPOT is open source and well documented, the human remains in the loop of decision-making. The introduction of SPOT is accompanied by detailed descriptions of the implementation and program code. This chapter particularly provides a deep insight in Kriging (aka Gaussian Process (GP) aka Bayesian Optimization (BO)) as a workhorse of this methodology. Thus it is very hands-on and practical." ;
        bibo:doi                "10.1007/978-981-19-5170-1_4" ;
        bibo:isbn13             "9789811951725" ;
        bibo:pageEnd            "119" ;
        bibo:pageStart          "71" ;
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thkoeln:Sammelbandbeitrag
        a           owl:Class ;
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        a       thkoeln:Zitat , owl:Thing .

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