{"id":"https://openalex.org/W2122093399","doi":"https://doi.org/10.1007/bf00132734","title":"Efficient inferencing for sigmoid Bayesian networks by reducing sampling space","display_name":"Efficient inferencing for sigmoid Bayesian networks by reducing sampling space","publication_year":1996,"publication_date":"1996-10-01","ids":{"openalex":"https://openalex.org/W2122093399","doi":"https://doi.org/10.1007/bf00132734","mag":"2122093399"},"language":"en","primary_location":{"id":"doi:10.1007/bf00132734","is_oa":false,"landing_page_url":"https://doi.org/10.1007/bf00132734","pdf_url":null,"source":{"id":"https://openalex.org/S74726891","display_name":"Applied Intelligence","issn_l":"0924-669X","issn":["0924-669X","1573-7497"],"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Intelligence","raw_type":"journal-article"},"type":"article","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/A5109265611","display_name":"Young Soo Han","orcid":null},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Young S. Han","raw_affiliation_strings":["Computer Science Department, Korea Advanced Institute of Science and Technology, 305-701, Korea, Taejon","Computer Science Department, Korea Advanced Institute of Science and Technology, Korea, Taejon"],"affiliations":[{"raw_affiliation_string":"Computer Science Department, Korea Advanced Institute of Science and Technology, 305-701, Korea, Taejon","institution_ids":["https://openalex.org/I157485424"]},{"raw_affiliation_string":"Computer Science Department, Korea Advanced Institute of Science and Technology, Korea, Taejon","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072506465","display_name":"Young C. Park","orcid":null},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Young C. Park","raw_affiliation_strings":["Computer Science Department, Korea Advanced Institute of Science and Technology, 305-701, Korea, Taejon","Computer Science Department, Korea Advanced Institute of Science and Technology, Korea, Taejon"],"affiliations":[{"raw_affiliation_string":"Computer Science Department, Korea Advanced Institute of Science and Technology, 305-701, Korea, Taejon","institution_ids":["https://openalex.org/I157485424"]},{"raw_affiliation_string":"Computer Science Department, Korea Advanced Institute of Science and Technology, Korea, Taejon","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109966554","display_name":"Key\u2010Sun Choi","orcid":null},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Key-Sun Choi","raw_affiliation_strings":["Computer Science Department, Korea Advanced Institute of Science and Technology, 305-701, Korea, Taejon","Computer Science Department, Korea Advanced Institute of Science and Technology, Korea, Taejon"],"affiliations":[{"raw_affiliation_string":"Computer Science Department, Korea Advanced Institute of Science and Technology, 305-701, Korea, Taejon","institution_ids":["https://openalex.org/I157485424"]},{"raw_affiliation_string":"Computer Science Department, Korea Advanced Institute of Science and Technology, Korea, Taejon","institution_ids":["https://openalex.org/I157485424"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5109265611"],"corresponding_institution_ids":["https://openalex.org/I157485424"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":null,"fwci":0.5693,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.77798264,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"6","issue":"4","first_page":"275","last_page":"285"},"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":0.9837999939918518,"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":0.9775000214576721,"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/sigmoid-function","display_name":"Sigmoid function","score":0.8674306273460388},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.815855860710144},{"id":"https://openalex.org/keywords/bayesian-network","display_name":"Bayesian network","score":0.674016535282135},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.6012709736824036},{"id":"https://openalex.org/keywords/gibbs-sampling","display_name":"Gibbs sampling","score":0.5848534107208252},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5822558403015137},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5195115804672241},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.5156242251396179},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.4961279332637787},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4130336344242096},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13951942324638367},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.10707542300224304}],"concepts":[{"id":"https://openalex.org/C81388566","wikidata":"https://www.wikidata.org/wiki/Q526668","display_name":"Sigmoid function","level":3,"score":0.8674306273460388},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.815855860710144},{"id":"https://openalex.org/C33724603","wikidata":"https://www.wikidata.org/wiki/Q812540","display_name":"Bayesian network","level":2,"score":0.674016535282135},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.6012709736824036},{"id":"https://openalex.org/C158424031","wikidata":"https://www.wikidata.org/wiki/Q1191905","display_name":"Gibbs sampling","level":3,"score":0.5848534107208252},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5822558403015137},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5195115804672241},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.5156242251396179},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.4961279332637787},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4130336344242096},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13951942324638367},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.10707542300224304},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"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/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/bf00132734","is_oa":false,"landing_page_url":"https://doi.org/10.1007/bf00132734","pdf_url":null,"source":{"id":"https://openalex.org/S74726891","display_name":"Applied Intelligence","issn_l":"0924-669X","issn":["0924-669X","1573-7497"],"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Intelligence","raw_type":"journal-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.592.4197","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.592.4197","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://swrc.kaist.ac.kr/paper/7.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.6600000262260437,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1484324861","https://openalex.org/W1518076737","https://openalex.org/W1550696814","https://openalex.org/W1632114991","https://openalex.org/W1980452149","https://openalex.org/W1989926363","https://openalex.org/W1999432334","https://openalex.org/W2033699249","https://openalex.org/W2056760934","https://openalex.org/W2083380015","https://openalex.org/W2083875149","https://openalex.org/W2113214579","https://openalex.org/W2114307208","https://openalex.org/W2159080219","https://openalex.org/W2343954916","https://openalex.org/W4236298973"],"related_works":["https://openalex.org/W4385957115","https://openalex.org/W2061372042","https://openalex.org/W3047779762","https://openalex.org/W1520030019","https://openalex.org/W2071654592","https://openalex.org/W3104477175","https://openalex.org/W2088157920","https://openalex.org/W4313324256","https://openalex.org/W840335986","https://openalex.org/W1501929113"],"abstract_inverted_index":null,"counts_by_year":[],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
