{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,17]],"date-time":"2026-04-17T07:41:16Z","timestamp":1776411676661,"version":"3.51.2"},"reference-count":15,"publisher":"Elsevier BV","issue":"9","license":[{"start":{"date-parts":[[1999,11,1]],"date-time":"1999-11-01T00:00:00Z","timestamp":941414400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Neural Networks"],"published-print":{"date-parts":[[1999,11]]},"DOI":"10.1016\/s0893-6080(99)00066-0","type":"journal-article","created":{"date-parts":[[2002,7,25]],"date-time":"2002-07-25T23:57:31Z","timestamp":1027641451000},"page":"1253-1258","source":"Crossref","is-referenced-by-count":54,"title":["On the identifiability of mixtures-of-experts"],"prefix":"10.1016","volume":"12","author":[{"given":"W.","family":"Jiang","sequence":"first","affiliation":[]},{"given":"M.A.","family":"Tanner","sequence":"additional","affiliation":[]}],"member":"78","reference":[{"key":"10.1016\/S0893-6080(99)00066-0_BIB1","article-title":"Mixtures of controllers for jump linear and non-linear plants","volume":"6","author":"Cacciatore","year":"1994"},{"key":"10.1016\/S0893-6080(99)00066-0_BIB2","unstructured":"Ghahramani, Z. & Hinton, G.E. (1996). The EM algorithm for mixtures of factor analyzers. Technical Report CRG-TR-96-1, Department of Computer Science, University of Toronto, Toronto, Ontario."},{"key":"10.1016\/S0893-6080(99)00066-0_BIB3","series-title":"Learning in graphical models","article-title":"Improving the mean field approximation via the use of mixture distributions","author":"Jaakkola","year":"1998"},{"key":"10.1016\/S0893-6080(99)00066-0_BIB4","doi-asserted-by":"crossref","first-page":"79","DOI":"10.1162\/neco.1991.3.1.79","article-title":"Adaptive mixtures of local experts","volume":"3","author":"Jacobs","year":"1991","journal-title":"Neural Computation"},{"key":"10.1016\/S0893-6080(99)00066-0_BIB5","doi-asserted-by":"crossref","first-page":"1183","DOI":"10.1162\/089976699300016403","article-title":"On the approximation rate of hierarchical mixtures-of-experts for generalized linear models","volume":"11","author":"Jiang","year":"1999","journal-title":"Neural Computation"},{"key":"10.1016\/S0893-6080(99)00066-0_BIB6","doi-asserted-by":"crossref","first-page":"181","DOI":"10.1162\/neco.1994.6.2.181","article-title":"Hierarchical mixtures of experts and the EM algorithm","volume":"6","author":"Jordan","year":"1994","journal-title":"Neural Computing"},{"key":"10.1016\/S0893-6080(99)00066-0_BIB7","doi-asserted-by":"crossref","first-page":"1409","DOI":"10.1016\/0893-6080(95)00014-3","article-title":"Convergence results for the EM approach to mixtures-of-experts architectures","volume":"8","author":"Jordan","year":"1995","journal-title":"Neural Networks"},{"key":"10.1016\/S0893-6080(99)00066-0_BIB8","unstructured":"Meil\u0103, M. & Jordan, M.I. (1995). Learning fine motion by Markov mixtures of experts. A.I. Memo No. 1567, Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA."},{"key":"10.1016\/S0893-6080(99)00066-0_BIB9","doi-asserted-by":"crossref","first-page":"195","DOI":"10.1137\/1026034","article-title":"Mixture densities, maximum likelihood and the EM algorithm","volume":"26","author":"Redner","year":"1984","journal-title":"SIAM Review"},{"key":"10.1016\/S0893-6080(99)00066-0_BIB10","doi-asserted-by":"crossref","first-page":"589","DOI":"10.1016\/S0893-6080(05)80037-1","article-title":"Uniqueness of the weights for minimal feedforward nets with a given input\u2013output map","volume":"5","author":"Sussmann","year":"1992","journal-title":"Neural Networks"},{"key":"10.1016\/S0893-6080(99)00066-0_BIB11","doi-asserted-by":"crossref","first-page":"55","DOI":"10.1214\/aoms\/1177705987","article-title":"On the mixture of distributions","volume":"31","author":"Teicher","year":"1960","journal-title":"Annals of Mathematical Statistics"},{"key":"10.1016\/S0893-6080(99)00066-0_BIB12","doi-asserted-by":"crossref","first-page":"1265","DOI":"10.1214\/aoms\/1177703862","article-title":"Identifiability of finite mixtures","volume":"34","author":"Teicher","year":"1963","journal-title":"Annals of Mathematical Statistics"},{"key":"10.1016\/S0893-6080(99)00066-0_BIB13","unstructured":"Tipping, M.E. & Bishop, C.M. (1997). Mixtures of probabilistic principal component analysers. Technical Report NCRG-97-003, Department of Computer Science and Applied Mathematics, Aston University, Birmingham, UK."},{"key":"10.1016\/S0893-6080(99)00066-0_BIB14","series-title":"Statistical analysis of finite mixture distributions","author":"Titterington","year":"1985"},{"key":"10.1016\/S0893-6080(99)00066-0_BIB15","doi-asserted-by":"crossref","first-page":"209","DOI":"10.1214\/aoms\/1177698520","article-title":"On the identifiability of finite mixtures","volume":"39","author":"Yakowitz","year":"1968","journal-title":"Annals of Mathematics and Statistics"}],"container-title":["Neural Networks"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0893608099000660?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0893608099000660?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2019,4,17]],"date-time":"2019-04-17T13:20:42Z","timestamp":1555507242000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0893608099000660"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[1999,11]]},"references-count":15,"journal-issue":{"issue":"9","published-print":{"date-parts":[[1999,11]]}},"alternative-id":["S0893608099000660"],"URL":"https:\/\/doi.org\/10.1016\/s0893-6080(99)00066-0","relation":{},"ISSN":["0893-6080"],"issn-type":[{"value":"0893-6080","type":"print"}],"subject":[],"published":{"date-parts":[[1999,11]]}}}