@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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        rdfs:label  "Institut für Data Science, Engineering, and Analytics" ;
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                <https://fis.th-koeln.de/vivo/individual/publ_13981> .

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        rdfs:label              "Hyperparameter Tuning and Optimization Applications" , "RDF description of Hyperparameter Tuning and Optimization Applications - https://fis.th-koeln.de/vivo/individual/publ_13981" ;
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                <https://fis.th-koeln.de/vivo/individual/cite_13981-0> , <https://fis.th-koeln.de/vivo/individual/cite_13981-2> , <https://fis.th-koeln.de/vivo/individual/cite_13981-1> ;
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        bibo:abstract           "This chapter reflects on advantages and sense of use of Hyperparameter Tuning (HPT) and its disadvantages. In particular it shows how important it is, to keep the human in the loop, even if HPT works perfectly. The chapter presents a collection of HPT studies. First, HPT applications in Machine Learning (ML) and Deep Learning (DL) are described. A special focus lies on automated ML, neural architecture search, and combined approaches. HPT software is presented. Finally, model based approaches, especially applications with Sequential Parameter Optimization Toolbox (SPOT) are discussed." ;
        bibo:doi                "10.1007/978-981-19-5170-1_6" ;
        bibo:isbn13             "9789811951725" ;
        bibo:pageEnd            "175" ;
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        a           owl:Class ;
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        a       thkoeln:Zitat , owl:Thing .

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