{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,14]],"date-time":"2026-04-14T06:37:21Z","timestamp":1776148641556,"version":"3.50.1"},"reference-count":49,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"14","license":[{"start":{"date-parts":[[2018,7,15]],"date-time":"2018-07-15T00:00:00Z","timestamp":1531612800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2018,7,15]],"date-time":"2018-07-15T00:00:00Z","timestamp":1531612800000},"content-version":"am","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2018,7,15]],"date-time":"2018-07-15T00:00:00Z","timestamp":1531612800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2018,7,15]],"date-time":"2018-07-15T00:00:00Z","timestamp":1531612800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100008982","name":"National Science Foundation","doi-asserted-by":"publisher","award":["CCF-1553281"],"award-info":[{"award-number":["CCF-1553281"]}],"id":[{"id":"10.13039\/501100008982","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Signal Process."],"published-print":{"date-parts":[[2018,7,15]]},"DOI":"10.1109\/tsp.2018.2839583","type":"journal-article","created":{"date-parts":[[2018,5,22]],"date-time":"2018-05-22T18:47:42Z","timestamp":1527014862000},"page":"3724-3739","source":"Crossref","is-referenced-by-count":70,"title":["Optimal Bayesian Transfer Learning"],"prefix":"10.1109","volume":"66","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4308-2582","authenticated-orcid":false,"given":"Alireza","family":"Karbalayghareh","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4347-2476","authenticated-orcid":false,"given":"Xiaoning","family":"Qian","sequence":"additional","affiliation":[]},{"given":"Edward R.","family":"Dougherty","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2017.7952322"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/TCBB.2017.2763946"},{"key":"ref33","article-title":"Caltech-256\n object category dataset","author":"griffin","year":"2007","journal-title":"California Institute of Technology"},{"key":"ref32","first-page":"213","article-title":"Adapting visual category models to new\n domains","author":"saenko","year":"2010","journal-title":"Proc 11th Eur Conf Comput Vis"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2010.2084572"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1186\/s13637-015-0028-3"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TCBB.2016.2616470"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/TCBB.2015.2485223"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1186\/s12859-014-0401-3"},{"key":"ref34","first-page":"404","article-title":"SURF: Speeded up\n robust features","author":"bay","year":"2006","journal-title":"Eur Conf Comput Vis"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1214\/aoms\/1177703863"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.12988\/ams.2017.7254"},{"key":"ref29","doi-asserted-by":"crossref","first-page":"1155","DOI":"10.1214\/aos\/1031689021","article-title":"Laplace approximations for hypergeometric functions with matrix argument","volume":"30","author":"butler","year":"2002","journal-title":"Ann Statist"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2017.2740460"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2009.191"},{"key":"ref20","first-page":"136","article-title":"Unsupervised domain adaptation with\n residual transfer networks","author":"long","year":"0","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref22","first-page":"469","article-title":"Coupled generative adversarial networks","author":"liu","year":"0","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref21","first-page":"1","article-title":"Domain-adversarial training of neural networks","volume":"17","author":"ganin","year":"2016","journal-title":"J Mach Learn Res"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2012.10.018"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2012.10.019"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1155\/2016\/5967218"},{"key":"ref25","author":"muirhead","year":"2009","journal-title":"Aspects of Multivariate Statistical Theory"},{"key":"ref10","article-title":"Efficient learning of domain-invariant image representations","author":"hoffman","year":"0","journal-title":"Proc Int Conf Learn Representations"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-014-0719-3"},{"key":"ref40","doi-asserted-by":"crossref","first-page":"23","DOI":"10.1186\/s12918-018-0549-y","article-title":"Intrinsically Bayesian robust classifier for single-cell gene expression trajectories in gene regulatory\n networks","volume":"12","author":"karbalayghareh","year":"2018","journal-title":"BMC Syst Biol"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.549"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btl242"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1145\/1273496.1273521"},{"key":"ref15","first-page":"1375","article-title":"Domain transfer SVM for video concept\n detection","author":"duan","year":"0","journal-title":"Proc IEEE Conf Comput Vis Pattern Recognit"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2009.57"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.421"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2615921"},{"key":"ref19","first-page":"97","article-title":"Learning transferable features with deep\n adaptation networks","author":"long","year":"0","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1186\/s40537-016-0043-6"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2014.2347059"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1080\/00401706.2015.1044117"},{"key":"ref5","article-title":"Domain adaptation for visual applications: A comprehensive survey","author":"csurka","year":"2017","journal-title":"arXiv 1702 05374"},{"key":"ref8","first-page":"2066","article-title":"Geodesic flow kernel for unsupervised\n domain adaptation","author":"gong","year":"0","journal-title":"Proc IEEE Conf Comput Vis Pattern Recognit"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.jbi.2011.04.009"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1155\/2016\/2374907"},{"key":"ref9","first-page":"667","article-title":"Learning\n with augmented features for heterogeneous domain adaptation","author":"duan","year":"0","journal-title":"Proc 29th Int Conf Mach Learn"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2016.2605072"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2013.2291213"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1080\/10652469.2016.1252762"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2017.2656845"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/TCBB.2013.143"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btr272"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1186\/s12859-017-1893-4"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/TCBB.2015.2424407"}],"container-title":["IEEE Transactions on Signal Processing"],"original-title":[],"link":[{"URL":"https:\/\/ieeexplore.ieee.org\/ielaam\/78\/8371726\/8362683-aam.pdf","content-type":"application\/pdf","content-version":"am","intended-application":"syndication"},{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/78\/8371726\/08362683.pdf?arnumber=8362683","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,4,8]],"date-time":"2022-04-08T18:48:54Z","timestamp":1649443734000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8362683\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,7,15]]},"references-count":49,"journal-issue":{"issue":"14"},"URL":"https:\/\/doi.org\/10.1109\/tsp.2018.2839583","relation":{},"ISSN":["1053-587X","1941-0476"],"issn-type":[{"value":"1053-587X","type":"print"},{"value":"1941-0476","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018,7,15]]}}}