{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,4]],"date-time":"2026-04-04T06:19:01Z","timestamp":1775283541653,"version":"3.50.1"},"reference-count":31,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Knowl. Data Eng."],"published-print":{"date-parts":[[2019]]},"DOI":"10.1109\/tkde.2019.2930516","type":"journal-article","created":{"date-parts":[[2019,7,23]],"date-time":"2019-07-23T20:49:21Z","timestamp":1563914961000},"page":"1-1","source":"Crossref","is-referenced-by-count":7,"title":["MTBR: Multi-Target Boosting for Regression"],"prefix":"10.1109","author":[{"given":"Sangdi","family":"Lin","sequence":"first","affiliation":[]},{"given":"Bahareh","family":"Azarnoush","sequence":"additional","affiliation":[]},{"given":"George","family":"Runger","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref31","article-title":"A regression model for predicting optimal purchase timing for airline tickets","author":"groves","year":"2011"},{"key":"ref30","article-title":"Physical growth of California boys and girls from birth to eighteen years","volume":"1","author":"tuddenham","year":"1954","journal-title":"Publications Child Develop Univ California"},{"key":"ref10","first-page":"624","article-title":"Ensembles of multi-objective decision trees","author":"kocev","year":"2007","journal-title":"Proc Eur Conf Mach Learn"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2012.09.023"},{"key":"ref12","first-page":"1","article-title":"Importance sampled learning ensembles","volume":"94305","author":"friedman","year":"2003","journal-title":"J Mach Learn Res"},{"key":"ref13","doi-asserted-by":"crossref","first-page":"1189","DOI":"10.1214\/aos\/1013203451","article-title":"Greedy function approximation: A gradient boosting machine","volume":"29","author":"friedman","year":"2001","journal-title":"Ann Statist"},{"key":"ref14","article-title":"Holistic learning for multi-target and network monitoring problems","author":"azarnoush","year":"2014"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/S0167-9473(01)00065-2"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1111\/j.2517-6161.1996.tb02080.x"},{"key":"ref17","first-page":"941","article-title":"Boosting as a regularized path to a maximum margin classifier","volume":"5","author":"rosset","year":"2004","journal-title":"J Mach Learn Res"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1023\/A:1010933404324"},{"key":"ref19","first-page":"142","article-title":"Boosted multi-task learning for face verification with applications to web image and video search","author":"wang","year":"2009","journal-title":"Proc IEEE Conf Comput Vis Pattern Recognit"},{"key":"ref28","author":"liaw","year":"2012","journal-title":"RandomForest Breiman and Cutler's random forests for classification and regression"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.2139\/ssrn.2394044"},{"key":"ref27","author":"ridgeway","year":"2013","journal-title":"Gbm Generalized Boosted Regression Models"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1007\/s10994-016-5546-z"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1023\/A:1007379606734"},{"key":"ref29","author":"ishwaran","year":"2019","journal-title":"Fast Unified Random Forests for Survival Regression and Classification (RF-SRC)"},{"key":"ref5","first-page":"2367","article-title":"Multi-target regression with rule ensembles","volume":"13","author":"aho","year":"2012","journal-title":"J Mach Learn Res"},{"key":"ref8","first-page":"502","article-title":"Stepwise induction of multi-target model trees","author":"appice","year":"2007","journal-title":"Proc 18th Eur Conf Mach Learn"},{"key":"ref7","first-page":"55","article-title":"Top-down induction of clustering trees","author":"blockeel","year":"1998","journal-title":"Proc 15th Int Conf Mach Learn"},{"key":"ref2","first-page":"1105","article-title":"Multivariate regression trees: A new technique for modeling species-environment relationships","volume":"83","author":"de'ath","year":"2002","journal-title":"Ecology"},{"key":"ref9","doi-asserted-by":"crossref","first-page":"454","DOI":"10.1007\/978-3-540-68125-0_40","article-title":"Learning classification rules for multiple target attributes","author":"\u017eenko","year":"2008","journal-title":"Proc Pacific-Asia Conf Adv Knowledge Discovery Data Mining"},{"key":"ref1","author":"tatsuoka","year":"1988","journal-title":"Multivariate Analysis Techniques for Educational and Psychological Research"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1007\/s10994-010-5231-6"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1145\/1273496.1273521"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2009.191"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1006\/jcss.1997.1504"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2010.5539857"},{"key":"ref26","doi-asserted-by":"crossref","first-page":"83","DOI":"10.1007\/BF02985802","article-title":"The elements of statistical learning: Data mining, inference and prediction","volume":"27","author":"hastie","year":"2005","journal-title":"Math Intell"},{"key":"ref25","first-page":"863","article-title":"Boosting for regression transfer","author":"pardoe","year":"2010","journal-title":"Proc 27th Int Conf Mach Learn"}],"container-title":["IEEE Transactions on Knowledge and Data Engineering"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/69\/4358933\/08770154.pdf?arnumber=8770154","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T14:50:47Z","timestamp":1652194247000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8770154\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"references-count":31,"URL":"https:\/\/doi.org\/10.1109\/tkde.2019.2930516","relation":{},"ISSN":["1041-4347","1558-2191","2326-3865"],"issn-type":[{"value":"1041-4347","type":"print"},{"value":"1558-2191","type":"electronic"},{"value":"2326-3865","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019]]}}}