{"id":"https://openalex.org/W2441772767","doi":"https://doi.org/10.1109/tnnls.2015.2477361","title":"Improving on Deterministic Approximate Bayesian Inferences for Mixture Distributions","display_name":"Improving on Deterministic Approximate Bayesian Inferences for Mixture Distributions","publication_year":2015,"publication_date":"2015-10-05","ids":{"openalex":"https://openalex.org/W2441772767","doi":"https://doi.org/10.1109/tnnls.2015.2477361","mag":"2441772767","pmid":"https://pubmed.ncbi.nlm.nih.gov/26452291"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2015.2477361","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2015.2477361","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Neural Networks and Learning Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5102987637","display_name":"Yohei Nakada","orcid":null},"institutions":[{"id":"https://openalex.org/I16656306","display_name":"Meiji University","ror":"https://ror.org/02rqvrp93","country_code":"JP","type":"education","lineage":["https://openalex.org/I16656306"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Yohei Nakada","raw_affiliation_strings":["School of Interdisciplinary Mathematical Sciences, Meiji University, Nakano, Tokyo, Japan"],"raw_orcid":"https://orcid.org/0000-0001-5618-0635","affiliations":[{"raw_affiliation_string":"School of Interdisciplinary Mathematical Sciences, Meiji University, Nakano, Tokyo, Japan","institution_ids":["https://openalex.org/I16656306"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5102987637"],"corresponding_institution_ids":["https://openalex.org/I16656306"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.16859919,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"27","issue":"11","first_page":"2282","last_page":"2300"},"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/T12072","display_name":"Machine Learning and Algorithms","score":0.9970999956130981,"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/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.9970999956130981,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5904242992401123},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5549931526184082},{"id":"https://openalex.org/keywords/bayesian-inference","display_name":"Bayesian inference","score":0.5528773069381714},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4940631687641144},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.48244577646255493},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4802996516227722},{"id":"https://openalex.org/keywords/latent-variable","display_name":"Latent variable","score":0.47745588421821594},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.44899600744247437},{"id":"https://openalex.org/keywords/bayesian-average","display_name":"Bayesian average","score":0.42299848794937134},{"id":"https://openalex.org/keywords/statistical-inference","display_name":"Statistical inference","score":0.4126242399215698},{"id":"https://openalex.org/keywords/bayesian-statistics","display_name":"Bayesian statistics","score":0.36895817518234253},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33473002910614014},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.19891047477722168}],"concepts":[{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5904242992401123},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5549931526184082},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.5528773069381714},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4940631687641144},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.48244577646255493},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4802996516227722},{"id":"https://openalex.org/C51167844","wikidata":"https://www.wikidata.org/wiki/Q4422623","display_name":"Latent variable","level":2,"score":0.47745588421821594},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.44899600744247437},{"id":"https://openalex.org/C149569020","wikidata":"https://www.wikidata.org/wiki/Q25098598","display_name":"Bayesian average","level":5,"score":0.42299848794937134},{"id":"https://openalex.org/C134261354","wikidata":"https://www.wikidata.org/wiki/Q938438","display_name":"Statistical inference","level":2,"score":0.4126242399215698},{"id":"https://openalex.org/C101112237","wikidata":"https://www.wikidata.org/wiki/Q4874481","display_name":"Bayesian statistics","level":4,"score":0.36895817518234253},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33473002910614014},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.19891047477722168},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tnnls.2015.2477361","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2015.2477361","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Neural Networks and Learning Systems","raw_type":"journal-article"},{"id":"pmid:26452291","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/26452291","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on neural networks and learning systems","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320320290","display_name":"University of Oxford","ror":"https://ror.org/052gg0110"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":70,"referenced_works":["https://openalex.org/W164417758","https://openalex.org/W336602872","https://openalex.org/W1504694836","https://openalex.org/W1515272691","https://openalex.org/W1549777868","https://openalex.org/W1559536185","https://openalex.org/W1575388622","https://openalex.org/W1594031697","https://openalex.org/W1618600317","https://openalex.org/W1934021597","https://openalex.org/W1967639437","https://openalex.org/W1981277868","https://openalex.org/W1981796042","https://openalex.org/W1996206993","https://openalex.org/W2005913992","https://openalex.org/W2007463795","https://openalex.org/W2015749074","https://openalex.org/W2020999234","https://openalex.org/W2033765726","https://openalex.org/W2034517627","https://openalex.org/W2036632921","https://openalex.org/W2047555270","https://openalex.org/W2049633694","https://openalex.org/W2050453099","https://openalex.org/W2060611171","https://openalex.org/W2082503527","https://openalex.org/W2096784803","https://openalex.org/W2105658140","https://openalex.org/W2109820980","https://openalex.org/W2111051539","https://openalex.org/W2114759290","https://openalex.org/W2117670920","https://openalex.org/W2119829353","https://openalex.org/W2120211304","https://openalex.org/W2125055259","https://openalex.org/W2127498532","https://openalex.org/W2128677288","https://openalex.org/W2130428211","https://openalex.org/W2144245426","https://openalex.org/W2146803603","https://openalex.org/W2149706766","https://openalex.org/W2152842394","https://openalex.org/W2152977846","https://openalex.org/W2153476503","https://openalex.org/W2159139259","https://openalex.org/W2165880886","https://openalex.org/W2168175751","https://openalex.org/W2168319451","https://openalex.org/W2169543563","https://openalex.org/W2305887293","https://openalex.org/W2318405211","https://openalex.org/W2541688157","https://openalex.org/W2567948266","https://openalex.org/W3022903251","https://openalex.org/W3085162807","https://openalex.org/W4214823344","https://openalex.org/W4231458249","https://openalex.org/W4233782578","https://openalex.org/W4236137412","https://openalex.org/W6630732035","https://openalex.org/W6632923127","https://openalex.org/W6634449904","https://openalex.org/W6636504819","https://openalex.org/W6640231202","https://openalex.org/W6676203565","https://openalex.org/W6677107029","https://openalex.org/W6679563517","https://openalex.org/W6682144668","https://openalex.org/W6684585897","https://openalex.org/W6731548788"],"related_works":["https://openalex.org/W97045573","https://openalex.org/W4328114192","https://openalex.org/W4286981651","https://openalex.org/W3197430630","https://openalex.org/W1980584819","https://openalex.org/W2384875295","https://openalex.org/W2111053936","https://openalex.org/W1573215448","https://openalex.org/W4308145032","https://openalex.org/W2352852554"],"abstract_inverted_index":{"This":[0,25,44],"paper":[1],"presents":[2],"the":[3,37,41,58,71,79],"branching":[4,51],"approach,":[5],"which":[6],"can":[7],"improve":[8],"deterministic":[9],"implementation":[10,90],"methods":[11,91],"(such":[12],"as":[13],"variational":[14],"Bayesian":[15,22,65],"inference":[16,66],"and":[17,97],"expectation":[18],"propagation":[19],"method)":[20],"for":[21],"mixture":[23,42],"distributions.":[24],"proposed":[26,83],"approach":[27,84],"utilizes":[28],"a":[29,54,94,98],"set":[30,46],"of":[31,40],"artificial":[32],"conditions":[33],"defined":[34],"by":[35,50,69,92],"using":[36,93],"latent":[38],"variables":[39],"distribution.":[43],"condition":[45,55,60,77,80],"is":[47,67,85],"updated":[48],"iteratively":[49],"based":[52],"on":[53],"selected":[56],"from":[57],"previous":[59],"set.":[61,81],"The":[62,82],"target":[63],"approximate":[64,72],"obtained":[68],"merging":[70],"conditional":[73],"inferences":[74],"under":[75],"each":[76],"in":[78],"compared":[86],"with":[87],"several":[88],"standard":[89],"numerical":[95],"example":[96],"real-world":[99],"example.":[100]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}