{"id":"https://openalex.org/W2994759950","doi":"https://doi.org/10.1016/j.entcs.2019.09.008","title":"Learning along a Channel: the Expectation part of Expectation-Maximisation","display_name":"Learning along a Channel: the Expectation part of Expectation-Maximisation","publication_year":2019,"publication_date":"2019-11-01","ids":{"openalex":"https://openalex.org/W2994759950","doi":"https://doi.org/10.1016/j.entcs.2019.09.008","mag":"2994759950"},"language":"en","primary_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.entcs.2019.09.008","pdf_url":null,"source":{"id":"https://openalex.org/S50368787","display_name":"Electronic Notes in Theoretical Computer Science","issn_l":"1571-0661","issn":["1571-0661"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true},"type":"article","type_crossref":"journal-article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1016/j.entcs.2019.09.008","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102972733","display_name":"Bart Jacobs","orcid":"https://orcid.org/0000-0002-0740-0336"},"institutions":[{"id":"https://openalex.org/I145872427","display_name":"Radboud University Nijmegen","ror":"https://ror.org/016xsfp80","country_code":"NL","type":"education","lineage":["https://openalex.org/I145872427"]}],"countries":["NL"],"is_corresponding":true,"raw_author_name":"Bart Jacobs","raw_affiliation_strings":["Institute for Computing and Information Sciences (iCIS), Radboud University Nijmegen, the Netherlands"],"affiliations":[{"raw_affiliation_string":"Institute for Computing and Information Sciences (iCIS), Radboud University Nijmegen, the Netherlands","institution_ids":["https://openalex.org/I145872427"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5102972733"],"corresponding_institution_ids":["https://openalex.org/I145872427"],"apc_list":null,"apc_paid":null,"fwci":0.991,"has_fulltext":true,"fulltext_origin":"pdf","cited_by_count":8,"citation_normalized_percentile":{"value":0.807063,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":83,"max":85},"biblio":{"volume":"347","issue":null,"first_page":"143","last_page":"160"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9986,"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":0.9986,"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/T10320","display_name":"Neural Networks and Applications","score":0.9628,"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/T10876","display_name":"Fault Detection and Control Systems","score":0.9627,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/basis","display_name":"Basis (linear algebra)","score":0.54376817}],"concepts":[{"id":"https://openalex.org/C162376815","wikidata":"https://www.wikidata.org/wiki/Q2158281","display_name":"Frequentist inference","level":4,"score":0.7246395},{"id":"https://openalex.org/C12426560","wikidata":"https://www.wikidata.org/wiki/Q189569","display_name":"Basis (linear algebra)","level":2,"score":0.54376817},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.52724165},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.5266214},{"id":"https://openalex.org/C144237770","wikidata":"https://www.wikidata.org/wiki/Q747534","display_name":"Mathematical economics","level":1,"score":0.47367102},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.45730546},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.45034713},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41495603},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4126781},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.3657354},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.19562891},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.18613175},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.1301882},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.entcs.2019.09.008","pdf_url":null,"source":{"id":"https://openalex.org/S50368787","display_name":"Electronic Notes in Theoretical Computer Science","issn_l":"1571-0661","issn":["1571-0661"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true},{"is_oa":true,"landing_page_url":"https://hdl.handle.net/2066/215011","pdf_url":"https://repository.ubn.ru.nl/bitstream/handle/2066/215011/1/215011.pdf","source":{"id":"https://openalex.org/S4306401067","display_name":"Radboud Repository (Radboud University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I145872427","host_organization_name":"Radboud University Nijmegen","host_organization_lineage":["https://openalex.org/I145872427"],"host_organization_lineage_names":["Radboud University Nijmegen"],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true},{"is_oa":true,"landing_page_url":"https://repository.ubn.ru.nl//bitstream/handle/2066/215011/215011.pdf","pdf_url":"https://repository.ubn.ru.nl//bitstream/handle/2066/215011/215011.pdf","source":{"id":"https://openalex.org/S4306401067","display_name":"Radboud Repository (Radboud University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I145872427","host_organization_name":"Radboud University Nijmegen","host_organization_lineage":["https://openalex.org/I145872427"],"host_organization_lineage_names":["Radboud University Nijmegen"],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.entcs.2019.09.008","pdf_url":null,"source":{"id":"https://openalex.org/S50368787","display_name":"Electronic Notes in Theoretical Computer Science","issn_l":"1571-0661","issn":["1571-0661"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.83}],"grants":[],"datasets":[],"versions":[],"referenced_works_count":20,"referenced_works":["https://openalex.org/W1511986666","https://openalex.org/W1535430927","https://openalex.org/W1590183771","https://openalex.org/W1663973292","https://openalex.org/W1755360231","https://openalex.org/W2049633694","https://openalex.org/W2086699924","https://openalex.org/W2122410182","https://openalex.org/W2154986869","https://openalex.org/W2159080219","https://openalex.org/W2527761895","https://openalex.org/W2605690278","https://openalex.org/W2610944571","https://openalex.org/W2750587176","https://openalex.org/W2773640343","https://openalex.org/W2775816367","https://openalex.org/W2796158284","https://openalex.org/W2949602009","https://openalex.org/W3105655952","https://openalex.org/W4212863985"],"related_works":["https://openalex.org/W4281755394","https://openalex.org/W3193696065","https://openalex.org/W3177008965","https://openalex.org/W3135449740","https://openalex.org/W2379147087","https://openalex.org/W2365767001","https://openalex.org/W2331145903","https://openalex.org/W2062274034","https://openalex.org/W1980742206","https://openalex.org/W1544083997"],"abstract_inverted_index":{"This":[0,55,113],"paper":[1,75],"first":[2],"investigates":[3],"a":[4,21,53,58,71,111],"form":[5],"of":[6,44,101,133],"frequentist":[7],"learning":[8,43,51,104,109],"that":[9,28,93],"is":[10,18,48,64,69,91],"often":[11],"called":[12],"Maximal":[13],"Likelihood":[14],"Estimation":[15],"(MLE).":[16],"It":[17,34,90],"redescribed":[19],"as":[20,50,80],"natural":[22],"transformation":[23],"from":[24,105,124],"multisets":[25],"to":[26,118,130],"distributions":[27],"commutes":[29],"with":[30],"marginalisation":[31],"and":[32,65,85,95,107],"disintegration.":[33],"forms":[35,97],"the":[36,39,125],"basis":[37],"for":[38,82,87,99,103,108],"next,":[40],"main":[41],"topic:":[42],"hidden":[45],"states,":[46],"which":[47,127],"reformulated":[49],"along":[52,110],"channel.":[54,112],"topic":[56],"requires":[57],"fundamental":[59],"look":[60],"at":[61],"what":[62,66],"data":[63],"its":[67],"validity":[68,100],"in":[70],"particular":[72],"state.":[73],"The":[74],"distinguishes":[76],"two":[77,120],"forms,":[78],"denoted":[79],"'M'":[81],"'multiple":[83],"states'":[84],"'C'":[86],"'copied":[88],"states'.":[89],"shown":[92],"M":[94],"C":[96],"exist":[98],"data,":[102,106],"M/C":[114],"distinction":[115],"allows":[116],"us":[117],"capture":[119],"completely":[121],"different":[122],"examples":[123],"literature":[126],"both":[128],"claim":[129],"be":[131],"instances":[132],"Expectation-Maximisation.":[134]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2994759950","counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":5},{"year":2019,"cited_by_count":1}],"updated_date":"2024-12-12T11:59:43.817790","created_date":"2019-12-26"}