{"id":"https://openalex.org/W6989413705","doi":null,"title":"Model Performance Approximation in Hyper-parameter Optimization","display_name":"Model Performance Approximation in Hyper-parameter Optimization","publication_year":2018,"publication_date":"2018-06-09","ids":{"openalex":"https://openalex.org/W6989413705"},"language":"en","primary_location":{"id":"pmh:oai:dspace.cvut.cz:10467/76421","doi":null,"is_oa":true,"landing_page_url":"http://hdl.handle.net/10467/76421","pdf_url":"http://hdl.handle.net/10467/76421","source":{"id":"https://openalex.org/S4377196895","display_name":"Czech Technical University Digital Library (Czech Technical University in Prague)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I44504214","host_organization_name":"Czech Technical University in Prague","host_organization_lineage":["https://openalex.org/I44504214"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"diplomov\u00e1 pr\u00e1ce"},"volume":null,"type":"dissertation","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://hdl.handle.net/10467/76421","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"J\u016fzlov\u00e1, Mark\u00e9ta","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"J\u016fzlov\u00e1, Mark\u00e9ta","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":null,"display_name":"J\u016fzlov\u00e1 Mark\u00e9ta","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"J\u016fzlov\u00e1 Mark\u00e9ta","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":true,"primary_topic":{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.9779999852180481,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.9779999852180481,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.008799999952316284,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11612","display_name":"Stochastic Gradient Optimization Techniques","score":0.00279999990016222,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/hyperparameter-optimization","display_name":"hyperparameter optimization","score":0.9869999885559082},{"id":"https://openalex.org/keywords/surrogate-modeling","display_name":"surrogate models","score":0.9869999885559082},{"id":"https://openalex.org/keywords/bayesian-optimization","display_name":"Bayesian optimization","score":0.7440000176429749},{"id":"https://openalex.org/keywords/hyperband","display_name":"Hyperband","score":0.9589999914169312},{"id":"https://openalex.org/keywords/grid-search","display_name":"grid search","score":0.8889999985694885},{"id":"https://openalex.org/keywords/random-search","display_name":"random search","score":0.9959999918937683},{"id":"https://openalex.org/keywords/sequential-optimization","display_name":"sequential optimization","score":0.7149999737739563},{"id":"https://openalex.org/keywords/deep-neural-network","display_name":"deep neural network","score":0.6039999723434448},{"id":"https://openalex.org/keywords/surrogate-model-accuracy","display_name":"surrogate model accuracy","score":0.4580000042915344}],"concepts":[{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.41440001130104065},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3276999890804291},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.32100000977516174},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.2718999981880188},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.24459999799728394},{"id":"https://openalex.org/C15708023","wikidata":"https://www.wikidata.org/wiki/Q80083","display_name":"Humanities","level":1,"score":0.22769999504089355},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.2249000072479248},{"id":"https://openalex.org/C2989121073","wikidata":"https://www.wikidata.org/wiki/Q1309019","display_name":"Transient analysis","level":3,"score":0.20319999754428864},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.1972000002861023},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.19329999387264252}],"mesh":[],"locations_count":1,"locations":[{"id":"pmh:oai:dspace.cvut.cz:10467/76421","doi":null,"is_oa":true,"landing_page_url":"http://hdl.handle.net/10467/76421","pdf_url":"http://hdl.handle.net/10467/76421","source":{"id":"https://openalex.org/S4377196895","display_name":"Czech Technical University Digital Library (Czech Technical University in Prague)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I44504214","host_organization_name":"Czech Technical University in Prague","host_organization_lineage":["https://openalex.org/I44504214"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"diplomov\u00e1 pr\u00e1ce"}],"best_oa_location":{"id":"pmh:oai:dspace.cvut.cz:10467/76421","doi":null,"is_oa":true,"landing_page_url":"http://hdl.handle.net/10467/76421","pdf_url":"http://hdl.handle.net/10467/76421","source":{"id":"https://openalex.org/S4377196895","display_name":"Czech Technical University Digital Library (Czech Technical University in Prague)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I44504214","host_organization_name":"Czech Technical University in Prague","host_organization_lineage":["https://openalex.org/I44504214"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"diplomov\u00e1 pr\u00e1ce"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W6989413705.pdf","grobid_xml":"https://content.openalex.org/works/W6989413705.grobid-xml"},"referenced_works_count":20,"referenced_works":["https://openalex.org/W1575029535","https://openalex.org/W1798702550","https://openalex.org/W1868018859","https://openalex.org/W1965573563","https://openalex.org/W1994197834","https://openalex.org/W2093229042","https://openalex.org/W2099201756","https://openalex.org/W2099679938","https://openalex.org/W2112796928","https://openalex.org/W2157069634","https://openalex.org/W2344075909","https://openalex.org/W2504891296","https://openalex.org/W2617308160","https://openalex.org/W2772089072","https://openalex.org/W2911964244","https://openalex.org/W2949431720","https://openalex.org/W2963815651","https://openalex.org/W3159088669","https://openalex.org/W6930339331","https://openalex.org/W6969145360"],"related_works":["https://openalex.org/W3174328731","https://openalex.org/W4412689851","https://openalex.org/W4389339848","https://openalex.org/W7025545276","https://openalex.org/W3025489970","https://openalex.org/W7072519050","https://openalex.org/W2752331852","https://openalex.org/W7000596197","https://openalex.org/W7220472122","https://openalex.org/W4391407517"],"abstract_inverted_index":{"C\u00edlem":[0],"automatick\u00e9":[1],"optimalizace":[2,51,61,70,93],"hyper-parametr\u016f":[3],"je":[4,18,80,98],"naj\u00edt":[5],"nastaven\u00ed":[6,17],"hyper-parameter\u016f":[7],"u\u010d\u00edc\u00edho":[8],"algorithm":[9],"bez":[10],"lidsk\u00e9":[11],"pomoci.":[12],"Proto\u017ee":[13],"k":[14],"vyhodnocen\u00ed":[15,30],"jednoho":[16],"pot\u0159eba":[19],"natr\u00e9novat":[20],"dan\u00fd":[21],"model,":[22],"optimaliza\u010dn\u00ed":[23],"metody":[24,55],"kter\u00e9":[25,39,85],"se":[26],"sna\u017e\u00ed":[27],"redukovat":[28],"po\u010det":[29],"jsou":[31,35],"t\u0159eba.":[32],"U\u017eite\u010dn\u00e1":[33],"technika":[34],"takzvan\u00e9":[36],"n\u00e1hradn\u00ed":[37,128],"modely,":[38],"aproximuj\u00ed":[40],"p\u0159esnost":[41,95],"modelu":[42,74],"s":[43,103],"danou":[44],"konfigurac\u00ed.":[45],"Tato":[46],"pr\u00e1ce":[47],"zkoum\u00e1":[48],"n\u011bkter\u00e9":[49],"postupy":[50],"hyper-parameter\u016f.":[52],"Mezi":[53],"popsan\u00e9":[54],"pat\u0159\u00ed":[56],"dv\u011b":[57,66],"tradi\u010dn\u00ed":[58],"methody:":[59],"m\u0159\u00ed\u017ekov\u00e1":[60],"a":[62,65,77,94,107,135],"n\u00e1hodn\u00e1":[63],"optimalizace,":[64],"nejpokro\u010dilej\u0161\u00ed":[67],"metody:":[68],"sekven\u010dn\u00ed":[69],"zalo\u017een\u00e1":[71],"na":[72,100,120],"n\u00e1hradn\u00edm":[73],"(Bayesovsk\u00e1":[75],"optimalizace)":[76],"Hyperband.":[78],"D\u00e1le":[79],"pops\u00e1no":[81],"n\u011bkolik":[82],"n\u00e1hradn\u00edch":[83,96],"model\u016f,":[84],"mohou":[86],"b\u00fdt":[87],"pou\u017eity":[88],"ke":[89],"zlep\u0161en\u00ed":[90],"optimalizace.":[91],"Efektivita":[92],"model\u016f":[97],"porovn\u00e1na":[99],"dvou":[101],"datasetech":[102],"r\u016fzn\u00fdm":[104],"stupn\u011bm":[105],"obt\u00ed\u017enosti":[106],"algoritmu":[108],"dop\u0159edn\u00fdch":[109],"um\u011bl\u00fdch":[110],"neuronov\u00fdch":[111],"s\u00edt\u00ed.":[112],"V\u00fdsledky":[113],"ukazuj\u00ed,":[114],"\u017ee":[115,127],"Hyperband":[116],"dosahuje":[117],"nejlep\u0161\u00edch":[118],"v\u00fdsledk\u016f":[119,124],"obouch":[121],"datasetech.":[122],"Anal\u00fdza":[123],"tak\u00e9":[125],"potvrzuje,":[126],"modely":[129],"sm\u011b\u0159uj\u00ed":[130],"hled\u00e1n\u00ed":[131],"do":[132],"slibn\u00fdch":[133],"oblast\u00ed":[134],"t\u00edm":[136],"urychluj\u00ed":[137],"optimalizaci.":[138]},"counts_by_year":[],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2025-10-10T00:00:00"}