{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,29]],"date-time":"2026-07-29T19:33:52Z","timestamp":1785353632636,"version":"3.55.0"},"reference-count":56,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"3","license":[{"start":{"date-parts":[[2016,2,1]],"date-time":"2016-02-01T00:00:00Z","timestamp":1454284800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Signal Process."],"published-print":{"date-parts":[[2016,2]]},"DOI":"10.1109\/tsp.2015.2493979","type":"journal-article","created":{"date-parts":[[2015,10,22]],"date-time":"2015-10-22T18:34:26Z","timestamp":1445538866000},"page":"783-798","source":"Crossref","is-referenced-by-count":51,"title":["Distributed Variational Bayesian Algorithms Over Sensor Networks"],"prefix":"10.1109","volume":"64","author":[{"given":"Junhao","family":"Hua","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3147-1553","authenticated-orcid":false,"given":"Chunguang","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref39","first-page":"661","article-title":"Variational message passing","volume":"6","author":"winn","year":"2005","journal-title":"J Mach Learn Res"},{"key":"ref38","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1561\/2200000001","article-title":"Graphical models, exponential families, and variational inference","volume":"1","author":"wainwright","year":"2008","journal-title":"Found Trends Mach Learn"},{"key":"ref33","first-page":"1663","article-title":"Consensus-based distributed support vector machines","volume":"11","author":"forero","year":"2010","journal-title":"J Mach Learn Res"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1561\/2200000016"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1162\/089976698300017746"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1016\/j.sysconle.2004.02.022"},{"key":"ref37","author":"brown","year":"1986","journal-title":"Fundamentals of Statistical Exponential Families With Applications in Statistical Decision Theory"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1613\/jair.251"},{"key":"ref35","author":"beal","year":"2003","journal-title":"Variational algorithms for approximate Bayesian inference"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/JSTSP.2011.2114324"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1016\/j.jpdc.2007.07.011"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1016\/j.sigpro.2009.10.004"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1080\/00207721.2011.565380"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2014.2302731"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2011.940281"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1992.4.3.448"},{"key":"ref22","author":"?m\ufffddl","year":"2006","journal-title":"The Variational Bayes Method in Signal Processing"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1007\/BF00994110"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1145\/1390156.1390305"},{"key":"ref23","first-page":"21","article-title":"Inferring parameters and structure of latent variable models by variational Bayes","author":"attias","year":"1999","journal-title":"Proc 15th Conf Uncertainty Artif Intell"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1145\/2187836.2187955"},{"key":"ref25","first-page":"1303","article-title":"Stochastic variational inference","volume":"14","author":"hoffman","year":"2013","journal-title":"J Mach Learn Res"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1214\/aos\/1176345779"},{"key":"ref51","first-page":"1705","article-title":"Clustering with Bregman divergences","volume":"6","author":"banerjee","year":"2005","journal-title":"J Mach Learn Res"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1007\/978-94-011-5014-9_12"},{"key":"ref55","author":"nene","year":"1996","journal-title":"?Columbia Object Image Library (COIL-20)?"},{"key":"ref54","first-page":"262","article-title":"Classification of radar returns from the ionosphere using neural networks","volume":"10","author":"sigillito","year":"1989","journal-title":"Johns Hopkins APL Tech Dig"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2011.2162831"},{"key":"ref52","doi-asserted-by":"crossref","DOI":"10.1007\/978-1-4419-8853-9","volume":"87","author":"nesterov","year":"2004","journal-title":"Introductory Lectures on Convex Optimization"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2012.2198468"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2013.2265221"},{"key":"ref40","first-page":"1","article-title":"Maximum likelihood from incomplete data via the EM algorithm","author":"dempster","year":"1977","journal-title":"J Roy Statist Soc Series B (Methodol )"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.2006.874516"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2010.2052531"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/MCOM.2002.1024422"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2006.1657817"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/IPSN.2005.1440895"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2013.2264463"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1145\/1831407.1831431"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2005.843548"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/79.985676"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2014.2327010"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TAC.2004.834113"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/JSEN.2015.2407579"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2009.2033729"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/CDC.2005.1583238"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1162\/089976601750265045"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2010.2051429"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2007.896034"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2008.080505"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-69162-4_32"},{"key":"ref47","doi-asserted-by":"crossref","DOI":"10.1007\/978-1-4612-5056-2","author":"amari","year":"1985","journal-title":"Differential-Geometrical Methods in Statistics"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.3390\/s110606297"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/TNN.2007.915110"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/TAC.2003.812781"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1214\/aoms\/1177729586"}],"container-title":["IEEE Transactions on Signal Processing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/78\/7360993\/7303974.pdf?arnumber=7303974","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,12]],"date-time":"2022-01-12T15:58:03Z","timestamp":1642003083000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/7303974\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016,2]]},"references-count":56,"journal-issue":{"issue":"3"},"URL":"https:\/\/doi.org\/10.1109\/tsp.2015.2493979","relation":{},"ISSN":["1053-587X","1941-0476"],"issn-type":[{"value":"1053-587X","type":"print"},{"value":"1941-0476","type":"electronic"}],"subject":[],"published":{"date-parts":[[2016,2]]}}}