{"id":"https://openalex.org/W2027628336","doi":"https://doi.org/10.1016/s0893-6080(99)00066-0","title":"On the identifiability of mixtures-of-experts","display_name":"On the identifiability of mixtures-of-experts","publication_year":1999,"publication_date":"1999-11-01","ids":{"openalex":"https://openalex.org/W2027628336","doi":"https://doi.org/10.1016/s0893-6080(99)00066-0","mag":"2027628336","pmid":"https://pubmed.ncbi.nlm.nih.gov/12662630"},"language":"en","primary_location":{"id":"doi:10.1016/s0893-6080(99)00066-0","is_oa":false,"landing_page_url":"https://doi.org/10.1016/s0893-6080(99)00066-0","pdf_url":null,"source":{"id":"https://openalex.org/S123019304","display_name":"Neural Networks","issn_l":"0893-6080","issn":["0893-6080","1879-2782"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Networks","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/A5101578550","display_name":"Wenxin Jiang","orcid":"https://orcid.org/0000-0003-0868-0402"},"institutions":[{"id":"https://openalex.org/I111979921","display_name":"Northwestern University","ror":"https://ror.org/000e0be47","country_code":"US","type":"education","lineage":["https://openalex.org/I111979921"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"W. Jiang","raw_affiliation_strings":["Department of Statistics, Northwestern University, Evanston, IL, USA","Department of Statistics, Northwestern University, Evanston, IL 60208, USA,#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Statistics, Northwestern University, Evanston, IL, USA","institution_ids":["https://openalex.org/I111979921"]},{"raw_affiliation_string":"Department of Statistics, Northwestern University, Evanston, IL 60208, USA,#TAB#","institution_ids":["https://openalex.org/I111979921"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045302193","display_name":"Martin A. Tanner","orcid":"https://orcid.org/0000-0002-9536-5373"},"institutions":[{"id":"https://openalex.org/I111979921","display_name":"Northwestern University","ror":"https://ror.org/000e0be47","country_code":"US","type":"education","lineage":["https://openalex.org/I111979921"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"M.A. Tanner","raw_affiliation_strings":["Department of Statistics, Northwestern University, Evanston, IL 60208, USA","Department of Statistics, Northwestern University, Evanston, IL 60208, USA,#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Statistics, Northwestern University, Evanston, IL 60208, USA","institution_ids":["https://openalex.org/I111979921"]},{"raw_affiliation_string":"Department of Statistics, Northwestern University, Evanston, IL 60208, USA,#TAB#","institution_ids":["https://openalex.org/I111979921"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5101578550"],"corresponding_institution_ids":["https://openalex.org/I111979921"],"apc_list":{"value":3350,"currency":"USD","value_usd":3350},"apc_paid":null,"fwci":1.5591,"has_fulltext":false,"cited_by_count":98,"citation_normalized_percentile":{"value":0.85560785,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"12","issue":"9","first_page":"1253","last_page":"1258"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9991000294685364,"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":0.9991000294685364,"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/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9897000193595886,"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/T10320","display_name":"Neural Networks and Applications","score":0.9782000184059143,"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/identifiability","display_name":"Identifiability","score":0.7770493030548096},{"id":"https://openalex.org/keywords/poisson-distribution","display_name":"Poisson distribution","score":0.6355509757995605},{"id":"https://openalex.org/keywords/binomial","display_name":"Binomial (polynomial)","score":0.6316619515419006},{"id":"https://openalex.org/keywords/gating","display_name":"Gating","score":0.5767983198165894},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5346091985702515},{"id":"https://openalex.org/keywords/invariant","display_name":"Invariant (physics)","score":0.526610255241394},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.4819059669971466},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.45705246925354004},{"id":"https://openalex.org/keywords/probability-density-function","display_name":"Probability density function","score":0.4332963824272156},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4293782114982605},{"id":"https://openalex.org/keywords/generalized-linear-model","display_name":"Generalized linear model","score":0.42528748512268066},{"id":"https://openalex.org/keywords/binomial-coefficient","display_name":"Binomial coefficient","score":0.4166638255119324},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36637765169143677},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.2450583577156067},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1981288492679596}],"concepts":[{"id":"https://openalex.org/C122770356","wikidata":"https://www.wikidata.org/wiki/Q1656753","display_name":"Identifiability","level":2,"score":0.7770493030548096},{"id":"https://openalex.org/C100906024","wikidata":"https://www.wikidata.org/wiki/Q205692","display_name":"Poisson distribution","level":2,"score":0.6355509757995605},{"id":"https://openalex.org/C2781315470","wikidata":"https://www.wikidata.org/wiki/Q193623","display_name":"Binomial (polynomial)","level":2,"score":0.6316619515419006},{"id":"https://openalex.org/C194544171","wikidata":"https://www.wikidata.org/wiki/Q21105679","display_name":"Gating","level":2,"score":0.5767983198165894},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5346091985702515},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.526610255241394},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.4819059669971466},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.45705246925354004},{"id":"https://openalex.org/C197055811","wikidata":"https://www.wikidata.org/wiki/Q207522","display_name":"Probability density function","level":2,"score":0.4332963824272156},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4293782114982605},{"id":"https://openalex.org/C41587187","wikidata":"https://www.wikidata.org/wiki/Q1501882","display_name":"Generalized linear model","level":2,"score":0.42528748512268066},{"id":"https://openalex.org/C34718186","wikidata":"https://www.wikidata.org/wiki/Q209875","display_name":"Binomial coefficient","level":2,"score":0.4166638255119324},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36637765169143677},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.2450583577156067},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1981288492679596},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","level":1,"score":0.0},{"id":"https://openalex.org/C42407357","wikidata":"https://www.wikidata.org/wiki/Q521","display_name":"Physiology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1016/s0893-6080(99)00066-0","is_oa":false,"landing_page_url":"https://doi.org/10.1016/s0893-6080(99)00066-0","pdf_url":null,"source":{"id":"https://openalex.org/S123019304","display_name":"Neural Networks","issn_l":"0893-6080","issn":["0893-6080","1879-2782"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Networks","raw_type":"journal-article"},{"id":"pmid:12662630","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/12662630","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":"Neural networks : the official journal of the International Neural Network Society","raw_type":null},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.26.8425","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.26.8425","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://neyman.stats.northwestern.edu/jiang/hme_iden.ps","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1662191912","https://openalex.org/W1746680969","https://openalex.org/W1981184437","https://openalex.org/W1981367467","https://openalex.org/W2011277999","https://openalex.org/W2025653905","https://openalex.org/W2058220245","https://openalex.org/W2068993558","https://openalex.org/W2075037028","https://openalex.org/W2120603682","https://openalex.org/W2120633557","https://openalex.org/W2146610201","https://openalex.org/W2150884987","https://openalex.org/W2163696743","https://openalex.org/W2166698530","https://openalex.org/W2172116616","https://openalex.org/W2797746357","https://openalex.org/W6637034065","https://openalex.org/W6678018651","https://openalex.org/W6684931241","https://openalex.org/W7011386669"],"related_works":["https://openalex.org/W1587332544","https://openalex.org/W2024600207","https://openalex.org/W2473415529","https://openalex.org/W2079118119","https://openalex.org/W2963638677","https://openalex.org/W379674649","https://openalex.org/W2613826160","https://openalex.org/W2143011322","https://openalex.org/W2073287166","https://openalex.org/W4287865767"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":3},{"year":2012,"cited_by_count":3}],"updated_date":"2026-04-17T18:11:37.981687","created_date":"2025-10-10T00:00:00"}