{"id":"https://openalex.org/W2030020197","doi":"https://doi.org/10.2478/v10065-010-0032-x","title":"An Application of Expectation-Maximization for Model Verification","display_name":"An Application of Expectation-Maximization for Model Verification","publication_year":2010,"publication_date":"2010-01-01","ids":{"openalex":"https://openalex.org/W2030020197","doi":"https://doi.org/10.2478/v10065-010-0032-x","mag":"2030020197"},"language":"en","primary_location":{"id":"doi:10.2478/v10065-010-0032-x","is_oa":true,"landing_page_url":"https://doi.org/10.2478/v10065-010-0032-x","pdf_url":null,"source":{"id":"https://openalex.org/S4210184648","display_name":"Annales Universitatis Mariae Curie-Sklodowska sectio AI \u2013 Informatica","issn_l":"1732-1360","issn":["1732-1360","2083-3628"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320322","host_organization_name":"De Gruyter Open","host_organization_lineage":["https://openalex.org/P4310320322","https://openalex.org/P4310313990"],"host_organization_lineage_names":["De Gruyter Open","De Gruyter"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Annales UMCS, Informatica","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.2478/v10065-010-0032-x","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5005364921","display_name":"Barbara \u0141ukawska","orcid":null},"institutions":[{"id":"https://openalex.org/I169109204","display_name":"Kielce University of Technology","ror":"https://ror.org/01zywja13","country_code":"PL","type":"education","lineage":["https://openalex.org/I169109204"]}],"countries":["PL"],"is_corresponding":true,"raw_author_name":"Barbara \u0141ukawska","raw_affiliation_strings":["Department of Computer Science, Kielce University of Technology, Al. Tysi\u0105clecia Pa\u0144stwa Polskiego 7, 25-314 Kielce, Poland#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Kielce University of Technology, Al. Tysi\u0105clecia Pa\u0144stwa Polskiego 7, 25-314 Kielce, Poland#TAB#","institution_ids":["https://openalex.org/I169109204"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067115435","display_name":"Grzegorz \u0141ukawski","orcid":"https://orcid.org/0000-0002-5262-454X"},"institutions":[{"id":"https://openalex.org/I169109204","display_name":"Kielce University of Technology","ror":"https://ror.org/01zywja13","country_code":"PL","type":"education","lineage":["https://openalex.org/I169109204"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Grzegorz \u0141ukawski","raw_affiliation_strings":["Department of Computer Science, Kielce University of Technology, Al. Tysi\u0105clecia Pa\u0144stwa Polskiego 7, 25-314 Kielce, Poland#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Kielce University of Technology, Al. Tysi\u0105clecia Pa\u0144stwa Polskiego 7, 25-314 Kielce, Poland#TAB#","institution_ids":["https://openalex.org/I169109204"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5007077278","display_name":"Krzysztof Sapiecha","orcid":null},"institutions":[{"id":"https://openalex.org/I169109204","display_name":"Kielce University of Technology","ror":"https://ror.org/01zywja13","country_code":"PL","type":"education","lineage":["https://openalex.org/I169109204"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Krzysztof Sapiecha","raw_affiliation_strings":["Department of Computer Science, Kielce University of Technology, Al. Tysi\u0105clecia Pa\u0144stwa Polskiego 7, 25-314 Kielce, Poland#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Kielce University of Technology, Al. Tysi\u0105clecia Pa\u0144stwa Polskiego 7, 25-314 Kielce, Poland#TAB#","institution_ids":["https://openalex.org/I169109204"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5005364921"],"corresponding_institution_ids":["https://openalex.org/I169109204"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.10893529,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"10","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9283999800682068,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11106","display_name":"Data Management and Algorithms","score":0.9283999800682068,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/cluster-analysis","display_name":"Cluster analysis","score":0.7298568487167358},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6836332082748413},{"id":"https://openalex.org/keywords/missing-data","display_name":"Missing data","score":0.6294587850570679},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.6277403831481934},{"id":"https://openalex.org/keywords/maximization","display_name":"Maximization","score":0.5547001361846924},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5518952012062073},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.5487077236175537},{"id":"https://openalex.org/keywords/basis","display_name":"Basis (linear algebra)","score":0.5101802349090576},{"id":"https://openalex.org/keywords/expectation\u2013maximization-algorithm","display_name":"Expectation\u2013maximization algorithm","score":0.5041221380233765},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49498194456100464},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.44404464960098267},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3783215880393982},{"id":"https://openalex.org/keywords/maximum-likelihood","display_name":"Maximum likelihood","score":0.2120431363582611},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17470583319664001},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.16693928837776184},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.15864771604537964}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7298568487167358},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6836332082748413},{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.6294587850570679},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.6277403831481934},{"id":"https://openalex.org/C2776330181","wikidata":"https://www.wikidata.org/wiki/Q18358244","display_name":"Maximization","level":2,"score":0.5547001361846924},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5518952012062073},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.5487077236175537},{"id":"https://openalex.org/C12426560","wikidata":"https://www.wikidata.org/wiki/Q189569","display_name":"Basis (linear algebra)","level":2,"score":0.5101802349090576},{"id":"https://openalex.org/C182081679","wikidata":"https://www.wikidata.org/wiki/Q1275153","display_name":"Expectation\u2013maximization algorithm","level":3,"score":0.5041221380233765},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49498194456100464},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.44404464960098267},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3783215880393982},{"id":"https://openalex.org/C49781872","wikidata":"https://www.wikidata.org/wiki/Q1045555","display_name":"Maximum likelihood","level":2,"score":0.2120431363582611},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17470583319664001},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.16693928837776184},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.15864771604537964},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.2478/v10065-010-0032-x","is_oa":true,"landing_page_url":"https://doi.org/10.2478/v10065-010-0032-x","pdf_url":null,"source":{"id":"https://openalex.org/S4210184648","display_name":"Annales Universitatis Mariae Curie-Sklodowska sectio AI \u2013 Informatica","issn_l":"1732-1360","issn":["1732-1360","2083-3628"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320322","host_organization_name":"De Gruyter Open","host_organization_lineage":["https://openalex.org/P4310320322","https://openalex.org/P4310313990"],"host_organization_lineage_names":["De Gruyter Open","De Gruyter"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Annales UMCS, Informatica","raw_type":"journal-article"},{"id":"pmh:oai:ojs.umcsd.home.net.pl:article/3264","is_oa":true,"landing_page_url":"http://journals.umcs.pl/ai/article/view/3264","pdf_url":null,"source":{"id":"https://openalex.org/S4306402290","display_name":"Studia Iuridica Lublinensia (Uniwersytet Marii Curie-Sk\u0142odowskiej w Lublinie)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I174183983","host_organization_name":"Maria Curie-Sk\u0142odowska University","host_organization_lineage":["https://openalex.org/I174183983"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Annales Universitatis Mariae Curie-Sklodowska, sectio AI \u00e2\u0080\u0093 Informatica; Vol 10, No 1 (2010); 15-27","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"doi:10.2478/v10065-010-0032-x","is_oa":true,"landing_page_url":"https://doi.org/10.2478/v10065-010-0032-x","pdf_url":null,"source":{"id":"https://openalex.org/S4210184648","display_name":"Annales Universitatis Mariae Curie-Sklodowska sectio AI \u2013 Informatica","issn_l":"1732-1360","issn":["1732-1360","2083-3628"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320322","host_organization_name":"De Gruyter Open","host_organization_lineage":["https://openalex.org/P4310320322","https://openalex.org/P4310313990"],"host_organization_lineage_names":["De Gruyter Open","De Gruyter"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Annales UMCS, Informatica","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1630964756","https://openalex.org/W1912123407","https://openalex.org/W2100954248","https://openalex.org/W2125055259","https://openalex.org/W2394657300","https://openalex.org/W2398580619","https://openalex.org/W2398633676","https://openalex.org/W6636614058"],"related_works":["https://openalex.org/W3024870410","https://openalex.org/W2410652950","https://openalex.org/W4380150146","https://openalex.org/W4390608645","https://openalex.org/W1976188970","https://openalex.org/W3216372614","https://openalex.org/W2187819724","https://openalex.org/W2990541822","https://openalex.org/W1588885902","https://openalex.org/W1965352811"],"abstract_inverted_index":{"A":[0],"description":[1],"which":[2,67,109],"summarizes":[3],"entire":[4],"and":[5,57,139],"usually":[6],"big":[7],"set":[8],"of":[9,24,26,33,38,47,62,118,131],"data":[10,27,102],"is":[11,81,103],"called":[12],"its":[13],"model.":[14],"The":[15,50,126],"problem":[16,84],"investigated":[17],"in":[18,22],"the":[19,48,60,63,79,86,100,104,116,123,129],"paper":[20,127],"consists":[21],"verification":[23],"models":[25,51],"coming":[28],"from":[29],"a":[30,82,98,110],"simulation":[31,124],"experiment":[32],"selecting":[34,80],"candidates":[35,87],"for":[36,71,108],"operators":[37],"mobile":[39],"robot":[40],"(more":[41],"strictly":[42],"building":[43],"reliable":[44],"predictive":[45],"model":[46,132],"data).":[49],"are":[52,88],"validated":[53],"using":[54],"train-and-test":[55],"method":[56],"verified":[58],"with":[59,75],"help":[61],"EM":[64],"(expectation-maximization)":[65],"algorithm":[66],"was":[68],"originally":[69],"designed":[70],"solving":[72],"clustering":[73,83],"problems":[74],"missing":[76,101],"data.":[77],"Actually,":[78],"because":[85],"assigned":[89,114],"to":[90],"\u2018chosen\u2019,":[91],"\u2018accepted\u2019":[92],"or":[93],"\u2018rejected\u2019":[94],"subgroups.":[95],"For":[96],"such":[97],"case":[99],"category":[105],"(the":[106],"subgroup)":[107],"candidate":[111],"should":[112],"be":[113],"on":[115],"basis":[117],"his":[119],"activity":[120],"measured":[121],"during":[122],"experiment.":[125],"explains":[128],"procedure":[130],"verification.":[133],"It":[134],"also":[135],"shows":[136],"experimental":[137],"results":[138],"draws":[140],"conclusions.":[141]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}