{"id":"https://openalex.org/W78113052","doi":"https://doi.org/10.1007/978-3-319-11433-0_38","title":"An Extended MPL-C Model for Bayesian Network Parameter Learning with Exterior Constraints","display_name":"An Extended MPL-C Model for Bayesian Network Parameter Learning with Exterior Constraints","publication_year":2014,"publication_date":"2014-01-01","ids":{"openalex":"https://openalex.org/W78113052","doi":"https://doi.org/10.1007/978-3-319-11433-0_38","mag":"78113052"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-319-11433-0_38","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-319-11433-0_38","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"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":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5022422213","display_name":"Yun Zhou","orcid":"https://orcid.org/0000-0001-7328-0275"},"institutions":[{"id":"https://openalex.org/I166337079","display_name":"Queen Mary University of London","ror":"https://ror.org/026zzn846","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I166337079"]},{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN","GB"],"is_corresponding":false,"raw_author_name":"Yun Zhou","raw_affiliation_strings":["Risk and Information Management (RIM) Research Group, Queen Mary University of London, United Kingdom","Science and Technology on Information Systems Engineering Laboratory, National University of Defense Technology, PR China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Risk and Information Management (RIM) Research Group, Queen Mary University of London, United Kingdom","institution_ids":["https://openalex.org/I166337079"]},{"raw_affiliation_string":"Science and Technology on Information Systems Engineering Laboratory, National University of Defense Technology, PR China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069178881","display_name":"Norman Fenton","orcid":"https://orcid.org/0000-0003-2924-0510"},"institutions":[{"id":"https://openalex.org/I166337079","display_name":"Queen Mary University of London","ror":"https://ror.org/026zzn846","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I166337079"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Norman Fenton","raw_affiliation_strings":["Risk and Information Management (RIM) Research Group, Queen Mary University of London, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Risk and Information Management (RIM) Research Group, Queen Mary University of London, United Kingdom","institution_ids":["https://openalex.org/I166337079"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046172297","display_name":"Martin Neil","orcid":"https://orcid.org/0000-0002-4922-0843"},"institutions":[{"id":"https://openalex.org/I166337079","display_name":"Queen Mary University of London","ror":"https://ror.org/026zzn846","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I166337079"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Martin Neil","raw_affiliation_strings":["Risk and Information Management (RIM) Research Group, Queen Mary University of London, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Risk and Information Management (RIM) Research Group, Queen Mary University of London, United Kingdom","institution_ids":["https://openalex.org/I166337079"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":3.621,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.93222139,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"581","last_page":"596"},"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":0.9793999791145325,"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/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9672999978065491,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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":0.7786767482757568},{"id":"https://openalex.org/keywords/bayesian-network","display_name":"Bayesian network","score":0.6471891403198242},{"id":"https://openalex.org/keywords/table","display_name":"Table (database)","score":0.60427325963974},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5137618780136108},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5113326907157898},{"id":"https://openalex.org/keywords/encode","display_name":"ENCODE","score":0.5033711791038513},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.47725722193717957},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.44999372959136963},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.4344240427017212},{"id":"https://openalex.org/keywords/domain-knowledge","display_name":"Domain knowledge","score":0.42145949602127075},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3675697445869446},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11757737398147583}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7786767482757568},{"id":"https://openalex.org/C33724603","wikidata":"https://www.wikidata.org/wiki/Q812540","display_name":"Bayesian network","level":2,"score":0.6471891403198242},{"id":"https://openalex.org/C45235069","wikidata":"https://www.wikidata.org/wiki/Q278425","display_name":"Table (database)","level":2,"score":0.60427325963974},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5137618780136108},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5113326907157898},{"id":"https://openalex.org/C66746571","wikidata":"https://www.wikidata.org/wiki/Q1134833","display_name":"ENCODE","level":3,"score":0.5033711791038513},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.47725722193717957},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.44999372959136963},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.4344240427017212},{"id":"https://openalex.org/C207685749","wikidata":"https://www.wikidata.org/wiki/Q2088941","display_name":"Domain knowledge","level":2,"score":0.42145949602127075},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3675697445869446},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11757737398147583},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"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/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1007/978-3-319-11433-0_38","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-319-11433-0_38","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"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":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.684.7109","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.684.7109","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.eecs.qmul.ac.uk/%7Eyz300/publication/Yun_PGM_2014.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.719.2394","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.719.2394","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"https://www.eecs.qmul.ac.uk/%7Enorman/papers/Yun_PGM_2014.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W202911364","https://openalex.org/W1015225754","https://openalex.org/W1517555081","https://openalex.org/W1573742539","https://openalex.org/W1577841048","https://openalex.org/W1593793857","https://openalex.org/W1817561967","https://openalex.org/W1854866626","https://openalex.org/W1859289281","https://openalex.org/W1989020770","https://openalex.org/W1989486129","https://openalex.org/W2015357251","https://openalex.org/W2022655351","https://openalex.org/W2024204220","https://openalex.org/W2038282474","https://openalex.org/W2042134289","https://openalex.org/W2057217342","https://openalex.org/W2071218570","https://openalex.org/W2076700146","https://openalex.org/W2078109946","https://openalex.org/W2084698324","https://openalex.org/W2086815218","https://openalex.org/W2087751936","https://openalex.org/W2099111195","https://openalex.org/W2121278962","https://openalex.org/W2127625042","https://openalex.org/W2131891947","https://openalex.org/W2137703130","https://openalex.org/W2170112109","https://openalex.org/W2963146817","https://openalex.org/W4298191365","https://openalex.org/W6674851815"],"related_works":["https://openalex.org/W2468279273","https://openalex.org/W2354198838","https://openalex.org/W1989130879","https://openalex.org/W2103419012","https://openalex.org/W2988126442","https://openalex.org/W1974414866","https://openalex.org/W2063982682","https://openalex.org/W4254477493","https://openalex.org/W2149300931","https://openalex.org/W2505556904"],"abstract_inverted_index":null,"counts_by_year":[{"year":2019,"cited_by_count":2},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":5},{"year":2015,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
