{"id":"https://openalex.org/W2887997499","doi":"https://doi.org/10.1007/978-3-319-99771-1_6","title":"The Quasi-Multinomial Synthesizer for\u00a0Categorical Data","display_name":"The Quasi-Multinomial Synthesizer for\u00a0Categorical Data","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2887997499","doi":"https://doi.org/10.1007/978-3-319-99771-1_6","mag":"2887997499"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-319-99771-1_6","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-319-99771-1_6","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/A5049097823","display_name":"Jingchen Hu","orcid":"https://orcid.org/0000-0002-4283-181X"},"institutions":[{"id":"https://openalex.org/I126820664","display_name":"Vassar College","ror":"https://ror.org/022x6qg61","country_code":"US","type":"education","lineage":["https://openalex.org/I126820664"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Jingchen Hu","raw_affiliation_strings":["Vassar College, Poughkeepsie, USA"],"affiliations":[{"raw_affiliation_string":"Vassar College, Poughkeepsie, USA","institution_ids":["https://openalex.org/I126820664"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068522362","display_name":"Nobuaki Hoshino","orcid":"https://orcid.org/0000-0002-7171-8971"},"institutions":[{"id":"https://openalex.org/I10091056","display_name":"Kanazawa University","ror":"https://ror.org/02hwp6a56","country_code":"JP","type":"education","lineage":["https://openalex.org/I10091056"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Nobuaki Hoshino","raw_affiliation_strings":["Kanazawa University, Kanazawa, Japan"],"affiliations":[{"raw_affiliation_string":"Kanazawa University, Kanazawa, Japan","institution_ids":["https://openalex.org/I10091056"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5049097823"],"corresponding_institution_ids":["https://openalex.org/I126820664"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":1.9032,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.89013129,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"75","last_page":"91"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9994999766349792,"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/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9994999766349792,"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/T11309","display_name":"Music and Audio Processing","score":0.9695000052452087,"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"}},{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9639999866485596,"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/multinomial-distribution","display_name":"Multinomial distribution","score":0.944154679775238},{"id":"https://openalex.org/keywords/categorical-variable","display_name":"Categorical variable","score":0.923935055732727},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6968706846237183},{"id":"https://openalex.org/keywords/categorical-distribution","display_name":"Categorical distribution","score":0.5744959115982056},{"id":"https://openalex.org/keywords/dirichlet-distribution","display_name":"Dirichlet distribution","score":0.41099613904953003},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.30073559284210205},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.18759748339653015},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1766369342803955},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.13340309262275696}],"concepts":[{"id":"https://openalex.org/C192065140","wikidata":"https://www.wikidata.org/wiki/Q1147928","display_name":"Multinomial distribution","level":2,"score":0.944154679775238},{"id":"https://openalex.org/C5274069","wikidata":"https://www.wikidata.org/wiki/Q2285707","display_name":"Categorical variable","level":2,"score":0.923935055732727},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6968706846237183},{"id":"https://openalex.org/C67926830","wikidata":"https://www.wikidata.org/wiki/Q5051810","display_name":"Categorical distribution","level":5,"score":0.5744959115982056},{"id":"https://openalex.org/C169214877","wikidata":"https://www.wikidata.org/wiki/Q981016","display_name":"Dirichlet distribution","level":3,"score":0.41099613904953003},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.30073559284210205},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.18759748339653015},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1766369342803955},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.13340309262275696},{"id":"https://openalex.org/C37903108","wikidata":"https://www.wikidata.org/wiki/Q4874474","display_name":"Bayesian linear regression","level":4,"score":0.0},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.0},{"id":"https://openalex.org/C182310444","wikidata":"https://www.wikidata.org/wiki/Q1332643","display_name":"Boundary value problem","level":2,"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/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-319-99771-1_6","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-319-99771-1_6","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"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W149976140","https://openalex.org/W1492029671","https://openalex.org/W1552516360","https://openalex.org/W1913848238","https://openalex.org/W1979650278","https://openalex.org/W1991233706","https://openalex.org/W1993188635","https://openalex.org/W2004146277","https://openalex.org/W2013033098","https://openalex.org/W2032105080","https://openalex.org/W2051953026","https://openalex.org/W2054812032","https://openalex.org/W2072169887","https://openalex.org/W2078129874","https://openalex.org/W2118502261","https://openalex.org/W2144832675","https://openalex.org/W2149234475","https://openalex.org/W2151792436","https://openalex.org/W2151967501","https://openalex.org/W2152828142","https://openalex.org/W2168193374","https://openalex.org/W2498458718","https://openalex.org/W2739123277","https://openalex.org/W2792626417","https://openalex.org/W2796385185","https://openalex.org/W2963461965","https://openalex.org/W2963565783","https://openalex.org/W3102147710","https://openalex.org/W3104793133","https://openalex.org/W4285719527","https://openalex.org/W6600566992"],"related_works":["https://openalex.org/W3034218051","https://openalex.org/W2986159101","https://openalex.org/W2070114007","https://openalex.org/W2887997499","https://openalex.org/W2016318053","https://openalex.org/W2313210471","https://openalex.org/W1556021157","https://openalex.org/W4288027703","https://openalex.org/W2087571625","https://openalex.org/W2749733843"],"abstract_inverted_index":null,"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":4},{"year":2018,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}