{"id":"https://openalex.org/W2580234224","doi":"https://doi.org/10.1007/s13748-017-0115-7","title":"MAP inference in dynamic hybrid Bayesian networks","display_name":"MAP inference in dynamic hybrid Bayesian networks","publication_year":2017,"publication_date":"2017-01-27","ids":{"openalex":"https://openalex.org/W2580234224","doi":"https://doi.org/10.1007/s13748-017-0115-7","mag":"2580234224"},"language":"en","primary_location":{"id":"doi:10.1007/s13748-017-0115-7","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s13748-017-0115-7","pdf_url":"https://link.springer.com/content/pdf/10.1007/s13748-017-0115-7.pdf","source":{"id":"https://openalex.org/S2480581173","display_name":"Progress in Artificial Intelligence","issn_l":"2192-6352","issn":["2192-6352","2192-6360"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Progress in Artificial Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s13748-017-0115-7.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5046966649","display_name":"Dar\u00edo Ramos-L\u00f3pez","orcid":"https://orcid.org/0000-0002-6127-6559"},"institutions":[{"id":"https://openalex.org/I52354020","display_name":"University of Almer\u00eda","ror":"https://ror.org/003d3xx08","country_code":"ES","type":"education","lineage":["https://openalex.org/I52354020"]}],"countries":["ES"],"is_corresponding":true,"raw_author_name":"Dar\u00edo Ramos-L\u00f3pez","raw_affiliation_strings":["Department of Mathematics, University of Almer\u00eda, Almer\u00eda, Spain"],"affiliations":[{"raw_affiliation_string":"Department of Mathematics, University of Almer\u00eda, Almer\u00eda, Spain","institution_ids":["https://openalex.org/I52354020"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091366101","display_name":"Andr\u00e9s R. Masegosa","orcid":"https://orcid.org/0000-0001-7719-7890"},"institutions":[{"id":"https://openalex.org/I204778367","display_name":"Norwegian University of Science and Technology","ror":"https://ror.org/05xg72x27","country_code":"NO","type":"education","lineage":["https://openalex.org/I204778367"]}],"countries":["NO"],"is_corresponding":false,"raw_author_name":"Andr\u00e9s R. Masegosa","raw_affiliation_strings":["Department of Computer and Information Science, Norwegian University of Science and Technology, Trondheim, Norway"],"affiliations":[{"raw_affiliation_string":"Department of Computer and Information Science, Norwegian University of Science and Technology, Trondheim, Norway","institution_ids":["https://openalex.org/I204778367"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100690509","display_name":"Ana Mar\u00eda Mart\u00ednez","orcid":"https://orcid.org/0000-0002-4220-8358"},"institutions":[{"id":"https://openalex.org/I891191580","display_name":"Aalborg University","ror":"https://ror.org/04m5j1k67","country_code":"DK","type":"education","lineage":["https://openalex.org/I891191580"]}],"countries":["DK"],"is_corresponding":false,"raw_author_name":"Ana M. Mart\u00ednez","raw_affiliation_strings":["Department of Computer Science, Aalborg University, Aalborg, Denmark"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Aalborg University, Aalborg, Denmark","institution_ids":["https://openalex.org/I891191580"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046555644","display_name":"Antonio Salmer\u00f3n","orcid":"https://orcid.org/0000-0003-4982-8725"},"institutions":[{"id":"https://openalex.org/I52354020","display_name":"University of Almer\u00eda","ror":"https://ror.org/003d3xx08","country_code":"ES","type":"education","lineage":["https://openalex.org/I52354020"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Antonio Salmer\u00f3n","raw_affiliation_strings":["Department of Mathematics, University of Almer\u00eda, Almer\u00eda, Spain"],"affiliations":[{"raw_affiliation_string":"Department of Mathematics, University of Almer\u00eda, Almer\u00eda, Spain","institution_ids":["https://openalex.org/I52354020"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080416900","display_name":"Thomas D. Nielsen","orcid":"https://orcid.org/0000-0002-4823-6341"},"institutions":[{"id":"https://openalex.org/I891191580","display_name":"Aalborg University","ror":"https://ror.org/04m5j1k67","country_code":"DK","type":"education","lineage":["https://openalex.org/I891191580"]}],"countries":["DK"],"is_corresponding":false,"raw_author_name":"Thomas D. Nielsen","raw_affiliation_strings":["Department of Computer Science, Aalborg University, Aalborg, Denmark"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Aalborg University, Aalborg, Denmark","institution_ids":["https://openalex.org/I891191580"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040301804","display_name":"Helge Langseth","orcid":"https://orcid.org/0000-0001-6324-6284"},"institutions":[{"id":"https://openalex.org/I204778367","display_name":"Norwegian University of Science and Technology","ror":"https://ror.org/05xg72x27","country_code":"NO","type":"education","lineage":["https://openalex.org/I204778367"]}],"countries":["NO"],"is_corresponding":false,"raw_author_name":"Helge Langseth","raw_affiliation_strings":["Department of Computer and Information Science, Norwegian University of Science and Technology, Trondheim, Norway"],"affiliations":[{"raw_affiliation_string":"Department of Computer and Information Science, Norwegian University of Science and Technology, Trondheim, Norway","institution_ids":["https://openalex.org/I204778367"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084283099","display_name":"Anders L. Madsen","orcid":"https://orcid.org/0000-0003-0633-9411"},"institutions":[{"id":"https://openalex.org/I4210148437","display_name":"Hugin Expert (Denmark)","ror":"https://ror.org/053pt1j04","country_code":"DK","type":"company","lineage":["https://openalex.org/I4210148437"]},{"id":"https://openalex.org/I891191580","display_name":"Aalborg University","ror":"https://ror.org/04m5j1k67","country_code":"DK","type":"education","lineage":["https://openalex.org/I891191580"]}],"countries":["DK"],"is_corresponding":false,"raw_author_name":"Anders L. Madsen","raw_affiliation_strings":["Department of Computer Science, Aalborg University, Aalborg, Denmark","Hugin Expert A/S, Aalborg, Denmark"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Aalborg University, Aalborg, Denmark","institution_ids":["https://openalex.org/I891191580"]},{"raw_affiliation_string":"Hugin Expert A/S, Aalborg, Denmark","institution_ids":["https://openalex.org/I4210148437"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5046966649"],"corresponding_institution_ids":["https://openalex.org/I52354020"],"apc_list":{"value":2190,"currency":"EUR","value_usd":2780},"apc_paid":{"value":2190,"currency":"EUR","value_usd":2780},"fwci":0.6229,"has_fulltext":true,"cited_by_count":7,"citation_normalized_percentile":{"value":0.75812014,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"6","issue":"2","first_page":"133","last_page":"144"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9998999834060669,"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/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9998999834060669,"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/T11719","display_name":"Data Quality and Management","score":0.9531000256538391,"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/T10906","display_name":"AI-based Problem Solving and Planning","score":0.9212999939918518,"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/computer-science","display_name":"Computer science","score":0.7440135478973389},{"id":"https://openalex.org/keywords/bayesian-network","display_name":"Bayesian network","score":0.6510897278785706},{"id":"https://openalex.org/keywords/maximum-a-posteriori-estimation","display_name":"Maximum a posteriori estimation","score":0.6307750940322876},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6209824085235596},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.6126738786697388},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.6057129502296448},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5578335523605347},{"id":"https://openalex.org/keywords/variable-elimination","display_name":"Variable elimination","score":0.5575394630432129},{"id":"https://openalex.org/keywords/variable","display_name":"Variable (mathematics)","score":0.5542101263999939},{"id":"https://openalex.org/keywords/dynamic-bayesian-network","display_name":"Dynamic Bayesian network","score":0.546377956867218},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.49778079986572266},{"id":"https://openalex.org/keywords/a-priori-and-a-posteriori","display_name":"A priori and a posteriori","score":0.46725010871887207},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4243926405906677},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3977097272872925},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1981717348098755},{"id":"https://openalex.org/keywords/maximum-likelihood","display_name":"Maximum likelihood","score":0.08199182152748108}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7440135478973389},{"id":"https://openalex.org/C33724603","wikidata":"https://www.wikidata.org/wiki/Q812540","display_name":"Bayesian network","level":2,"score":0.6510897278785706},{"id":"https://openalex.org/C9810830","wikidata":"https://www.wikidata.org/wiki/Q635384","display_name":"Maximum a posteriori estimation","level":3,"score":0.6307750940322876},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6209824085235596},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.6126738786697388},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6057129502296448},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5578335523605347},{"id":"https://openalex.org/C169272836","wikidata":"https://www.wikidata.org/wiki/Q5668307","display_name":"Variable elimination","level":3,"score":0.5575394630432129},{"id":"https://openalex.org/C182365436","wikidata":"https://www.wikidata.org/wiki/Q50701","display_name":"Variable (mathematics)","level":2,"score":0.5542101263999939},{"id":"https://openalex.org/C82142266","wikidata":"https://www.wikidata.org/wiki/Q3456604","display_name":"Dynamic Bayesian network","level":3,"score":0.546377956867218},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.49778079986572266},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.46725010871887207},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4243926405906677},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3977097272872925},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1981717348098755},{"id":"https://openalex.org/C49781872","wikidata":"https://www.wikidata.org/wiki/Q1045555","display_name":"Maximum likelihood","level":2,"score":0.08199182152748108},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"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/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1007/s13748-017-0115-7","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s13748-017-0115-7","pdf_url":"https://link.springer.com/content/pdf/10.1007/s13748-017-0115-7.pdf","source":{"id":"https://openalex.org/S2480581173","display_name":"Progress in Artificial Intelligence","issn_l":"2192-6352","issn":["2192-6352","2192-6360"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Progress in Artificial Intelligence","raw_type":"journal-article"},{"id":"pmh:oai:pure.atira.dk:openaire/347f5fb8-a928-4136-8cd6-2aedce8d70f0","is_oa":true,"landing_page_url":"https://vbn.aau.dk/da/publications/347f5fb8-a928-4136-8cd6-2aedce8d70f0","pdf_url":null,"source":{"id":"https://openalex.org/S4306401731","display_name":"VBN Forskningsportal (Aalborg Universitet)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I891191580","host_organization_name":"Aalborg University","host_organization_lineage":["https://openalex.org/I891191580"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Ramos-L\u00f3pez, D, Masegosa, A, Martinez, A M, Salmer\u00f3n, A, Nielsen, T D, Langseth, H & Madsen, A L 2017, 'MAP inference in dynamic hybrid Bayesian networks', Progress in Artificial Intelligence, vol. 6, no. 2, pp. 133\u2013144. https://doi.org/10.1007/s13748-017-0115-7","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:oai:brage.bibsys.no:11250/2443764","is_oa":true,"landing_page_url":"http://hdl.handle.net/11250/2443764","pdf_url":null,"source":{"id":"https://openalex.org/S4306400255","display_name":"BIBSYS Brage (BIBSYS (Norway))","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I173212132","host_organization_name":"Vilnius University","host_organization_lineage":["https://openalex.org/I173212132"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"133-144","raw_type":"Journal article"},{"id":"pmh:oai:dnet:riualreposit::e78d5f9b43586e07a480a139faf7c5ff","is_oa":true,"landing_page_url":"http://hdl.handle.net/10835/4884","pdf_url":null,"source":{"id":"https://openalex.org/S4306402641","display_name":"LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Cient\u00edficas)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4383465926","host_organization_name":"LA Referencia","host_organization_lineage":["https://openalex.org/I4383465926"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Publicado en Progress in Artificial Intelligence","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"doi:10.1007/s13748-017-0115-7","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s13748-017-0115-7","pdf_url":"https://link.springer.com/content/pdf/10.1007/s13748-017-0115-7.pdf","source":{"id":"https://openalex.org/S2480581173","display_name":"Progress in Artificial Intelligence","issn_l":"2192-6352","issn":["2192-6352","2192-6360"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Progress in Artificial Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3981126665","display_name":null,"funder_award_id":"Seventh Framework Programme","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G4658795653","display_name":null,"funder_award_id":"TIN2013-46638-C3-1-P","funder_id":"https://openalex.org/F4320321837","funder_display_name":"Ministerio de Econom\u00eda y Competitividad"},{"id":"https://openalex.org/G8051717526","display_name":null,"funder_award_id":"Grant","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G918083077","display_name":"Analysis of MassIve Data STreams","funder_award_id":"619209","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"}],"funders":[{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"},{"id":"https://openalex.org/F4320321837","display_name":"Ministerio de Econom\u00eda y Competitividad","ror":"https://ror.org/034900433"},{"id":"https://openalex.org/F4320335322","display_name":"European Regional Development Fund","ror":"https://ror.org/00k4n6c32"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2580234224.pdf","grobid_xml":"https://content.openalex.org/works/W2580234224.grobid-xml"},"referenced_works_count":19,"referenced_works":["https://openalex.org/W181231970","https://openalex.org/W1549899114","https://openalex.org/W1630331242","https://openalex.org/W1964821516","https://openalex.org/W2003022499","https://openalex.org/W2014208555","https://openalex.org/W2020294948","https://openalex.org/W2038374320","https://openalex.org/W2101968469","https://openalex.org/W2112151368","https://openalex.org/W2142384583","https://openalex.org/W2156358825","https://openalex.org/W2159080219","https://openalex.org/W2165478976","https://openalex.org/W2460035004","https://openalex.org/W2611976149","https://openalex.org/W2949914519","https://openalex.org/W4206038828","https://openalex.org/W6638005714"],"related_works":["https://openalex.org/W2150865841","https://openalex.org/W2362542135","https://openalex.org/W2138865713","https://openalex.org/W2169353922","https://openalex.org/W2598344953","https://openalex.org/W2578973671","https://openalex.org/W2215058820","https://openalex.org/W2097663773","https://openalex.org/W1602184117","https://openalex.org/W2413421635"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"study":[4],"the":[5,21,31,44,67,75,92,97,107,111,122,125],"maximum":[6],"a":[7,26,48,57,102],"posteriori":[8],"(MAP)":[9],"problem":[10,46],"in":[11,19,91],"dynamic":[12],"hybrid":[13],"Bayesian":[14],"networks.":[15],"We":[16,36],"are":[17,99],"interested":[18],"finding":[20],"sequence":[22],"of":[23,25,59,66,69,74,104,124],"values":[24,105],"class":[27,108],"variable":[28,68,109],"that":[29],"maximizes":[30],"posterior":[32],"probability":[33],"given":[34],"evidence.":[35],"propose":[37],"an":[38],"approximate":[39],"solution":[40,55],"based":[41],"on":[42],"transforming":[43],"MAP":[45],"into":[47],"simpler":[49],"belief":[50],"update":[51,86],"problem.":[52],"The":[53,127],"proposed":[54],"constructs":[56],"set":[58],"auxiliary":[60,93],"networks":[61],"by":[62],"grouping":[63],"consecutive":[64],"instantiations":[65],"interest,":[70],"thus":[71],"capturing":[72],"some":[73],"potential":[76],"temporal":[77],"dependences":[78],"between":[79],"these":[80],"variables":[81],"while":[82],"ignoring":[83],"others.":[84],"Belief":[85],"is":[87],"carried":[88,118],"out":[89,119],"independently":[90],"models,":[94],"after":[95],"which":[96],"results":[98],"combined,":[100],"producing":[101],"configuration":[103],"for":[106],"along":[110],"entire":[112],"time":[113],"sequence.":[114],"Experiments":[115],"have":[116],"been":[117,130,140],"to":[120],"analyze":[121],"behavior":[123],"approach.":[126],"algorithm":[128],"has":[129,139],"implemented":[131],"using":[132],"Java":[133],"8":[134],"streams,":[135],"and":[136],"its":[137],"scalability":[138],"evaluated.":[141]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":2}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}