{"id":"https://openalex.org/W2604726822","doi":"https://doi.org/10.1007/s10489-017-0909-0","title":"Proportional data modeling via entropy-based variational bayes learning of mixture models","display_name":"Proportional data modeling via entropy-based variational bayes learning of mixture models","publication_year":2017,"publication_date":"2017-04-08","ids":{"openalex":"https://openalex.org/W2604726822","doi":"https://doi.org/10.1007/s10489-017-0909-0","mag":"2604726822"},"language":"en","primary_location":{"id":"doi:10.1007/s10489-017-0909-0","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s10489-017-0909-0","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/A5056455910","display_name":"Wentao Fan","orcid":"https://orcid.org/0000-0001-6694-7289"},"institutions":[{"id":"https://openalex.org/I119045251","display_name":"Huaqiao University","ror":"https://ror.org/03frdh605","country_code":"CN","type":"education","lineage":["https://openalex.org/I119045251"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wentao Fan","raw_affiliation_strings":["Department of Computer Science and Technology, Huaqiao University, Xiamen, China"],"raw_orcid":"https://orcid.org/0000-0001-6694-7289","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Huaqiao University, Xiamen, China","institution_ids":["https://openalex.org/I119045251"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016802878","display_name":"Faisal R. Al-Osaimi","orcid":"https://orcid.org/0000-0001-6400-114X"},"institutions":[{"id":"https://openalex.org/I199693650","display_name":"Umm al-Qura University","ror":"https://ror.org/01xjqrm90","country_code":"SA","type":"education","lineage":["https://openalex.org/I199693650"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Faisal R. Al-Osaimi","raw_affiliation_strings":["Department of Computer Engineering, College of Computer Systems, Umm Al-Qura University, Makkah, Saudi Arabia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, College of Computer Systems, Umm Al-Qura University, Makkah, Saudi Arabia","institution_ids":["https://openalex.org/I199693650"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090600716","display_name":"Nizar Bouguila","orcid":"https://orcid.org/0000-0001-7224-7940"},"institutions":[{"id":"https://openalex.org/I60158472","display_name":"Concordia University","ror":"https://ror.org/0420zvk78","country_code":"CA","type":"education","lineage":["https://openalex.org/I60158472"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Nizar Bouguila","raw_affiliation_strings":["Concordia Institute for Information Systems Engineering (CIISE), Concordia University, Montreal, QC, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Concordia Institute for Information Systems Engineering (CIISE), Concordia University, Montreal, QC, Canada","institution_ids":["https://openalex.org/I60158472"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004062770","display_name":"Ji\u2010Xiang Du","orcid":"https://orcid.org/0000-0003-2386-770X"},"institutions":[{"id":"https://openalex.org/I119045251","display_name":"Huaqiao University","ror":"https://ror.org/03frdh605","country_code":"CN","type":"education","lineage":["https://openalex.org/I119045251"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jixiang Du","raw_affiliation_strings":["Department of Computer Science and Technology, Huaqiao University, Xiamen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Huaqiao University, Xiamen, China","institution_ids":["https://openalex.org/I119045251"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5056455910"],"corresponding_institution_ids":["https://openalex.org/I119045251"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":null,"fwci":1.8707,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.88949777,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"47","issue":"2","first_page":"473","last_page":"487"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9986000061035156,"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":0.9986000061035156,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9861000180244446,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9835000038146973,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.8247981667518616},{"id":"https://openalex.org/keywords/bayes-theorem","display_name":"Bayes' theorem","score":0.570331335067749},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.4541842043399811},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.43528419733047485},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41729098558425903},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.3255699872970581},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.22407767176628113},{"id":"https://openalex.org/keywords/thermodynamics","display_name":"Thermodynamics","score":0.14034739136695862},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12339234352111816}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8247981667518616},{"id":"https://openalex.org/C207201462","wikidata":"https://www.wikidata.org/wiki/Q182505","display_name":"Bayes' theorem","level":3,"score":0.570331335067749},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.4541842043399811},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.43528419733047485},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41729098558425903},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.3255699872970581},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.22407767176628113},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.14034739136695862},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12339234352111816},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s10489-017-0909-0","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s10489-017-0909-0","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"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G285301086","display_name":null,"funder_award_id":"61502183","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G988249013","display_name":null,"funder_award_id":"61673186","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":68,"referenced_works":["https://openalex.org/W16598393","https://openalex.org/W61015563","https://openalex.org/W175094223","https://openalex.org/W1482998036","https://openalex.org/W1516054673","https://openalex.org/W1516111018","https://openalex.org/W1527729807","https://openalex.org/W1579271636","https://openalex.org/W1586359082","https://openalex.org/W1663973292","https://openalex.org/W1967431135","https://openalex.org/W1981050900","https://openalex.org/W1985093013","https://openalex.org/W1989387811","https://openalex.org/W1996649355","https://openalex.org/W2001713393","https://openalex.org/W2002782596","https://openalex.org/W2005913992","https://openalex.org/W2007206727","https://openalex.org/W2007819283","https://openalex.org/W2019055782","https://openalex.org/W2028211271","https://openalex.org/W2028248716","https://openalex.org/W2028510317","https://openalex.org/W2028897535","https://openalex.org/W2034785770","https://openalex.org/W2041823554","https://openalex.org/W2050453099","https://openalex.org/W2053181242","https://openalex.org/W2062476441","https://openalex.org/W2068078373","https://openalex.org/W2071372623","https://openalex.org/W2097021277","https://openalex.org/W2099789128","https://openalex.org/W2100657858","https://openalex.org/W2101025736","https://openalex.org/W2101294471","https://openalex.org/W2111368672","https://openalex.org/W2116466193","https://openalex.org/W2119970915","https://openalex.org/W2120211304","https://openalex.org/W2121178298","https://openalex.org/W2121359844","https://openalex.org/W2132854830","https://openalex.org/W2133343739","https://openalex.org/W2134154026","https://openalex.org/W2137914836","https://openalex.org/W2139827522","https://openalex.org/W2140959843","https://openalex.org/W2141951767","https://openalex.org/W2143869282","https://openalex.org/W2145862222","https://openalex.org/W2147246240","https://openalex.org/W2149551942","https://openalex.org/W2150008717","https://openalex.org/W2150102617","https://openalex.org/W2150591491","https://openalex.org/W2151129315","https://openalex.org/W2152594362","https://openalex.org/W2157487910","https://openalex.org/W2158275940","https://openalex.org/W2169012810","https://openalex.org/W2169026875","https://openalex.org/W2169714360","https://openalex.org/W2172085063","https://openalex.org/W2488678869","https://openalex.org/W4212863985","https://openalex.org/W4292403327"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W3046775127","https://openalex.org/W3107602296","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W4364306694","https://openalex.org/W4312192474","https://openalex.org/W4283697347","https://openalex.org/W4210805261"],"abstract_inverted_index":null,"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":3},{"year":2019,"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"}
