{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,13]],"date-time":"2026-03-13T04:56:24Z","timestamp":1773377784389,"version":"3.50.1"},"reference-count":22,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,7,12]],"date-time":"2021-07-12T00:00:00Z","timestamp":1626048000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,7,12]],"date-time":"2021-07-12T00:00:00Z","timestamp":1626048000000},"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":[],"published-print":{"date-parts":[[2021,7,12]]},"DOI":"10.1109\/isit45174.2021.9518152","type":"proceedings-article","created":{"date-parts":[[2021,9,1]],"date-time":"2021-09-01T16:52:42Z","timestamp":1630515162000},"page":"2435-2440","source":"Crossref","is-referenced-by-count":3,"title":["Constructing Multiclass Classifiers using Binary Classifiers Under Log-Loss"],"prefix":"10.1109","author":[{"given":"Assaf","family":"Ben-Yishai","sequence":"first","affiliation":[{"name":"Hebrew University of Jerusalem"}]},{"given":"Or","family":"Ordentlich","sequence":"additional","affiliation":[{"name":"Hebrew University of Jerusalem"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1613\/jair.105"},{"key":"ref11","first-page":"113","article-title":"Reducing multiclass to binary: A unifying approach for margin classifiers","volume":"1","author":"allwein","year":"2000","journal-title":"Journal of Machine Learning Research"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1007\/s100440200019"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/IGARSS.2004.1368565"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1145\/1015330.1015427"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/s10462-009-9114-9"},{"key":"ref16","article-title":"Pitfalls of assessing extracted hierarchies for multi-class classification","author":"del moral","year":"2021","journal-title":"ArXiv Preprint"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.2021.3059338"},{"key":"ref18","article-title":"An upgrading algorithm with optimal power law","author":"ordentlich","year":"2020","journal-title":"ArXiv Preprint"},{"key":"ref19","volume":"2","author":"beygelzimer","year":"2007","journal-title":"Multiclass Classification with Filter Trees"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.2015.2462848"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.2013.2288257"},{"key":"ref6","article-title":"Minimum excess risk in bayesian learning","author":"xu","year":"2020","journal-title":"ArXiv Preprint"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ISIT.2018.8437543"},{"key":"ref8","first-page":"101","article-title":"In defense of one-vs-all classification","volume":"5","author":"rifkin","year":"2004","journal-title":"The Journal of Machine Learning Research"},{"key":"ref7","article-title":"Multiclass learning approaches: A theoretical comparison with implications","author":"daniely","year":"2012","journal-title":"ArXiv Preprint"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9780511546921"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/18.720534"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1214\/aos\/1028144844"},{"key":"ref20","article-title":"Constructing multiclass classifiers using binary classifiers under log-loss","author":"ben-yishai","year":"2021","journal-title":"ArXiv Preprint"},{"key":"ref22","first-page":"2825","article-title":"Scikit-learn: Machine learning in Python","volume":"12","author":"pedregosa","year":"2011","journal-title":"Journal of Machine Learning Research"},{"key":"ref21","author":"cover","year":"2006","journal-title":"Elements of Information Theory"}],"event":{"name":"2021 IEEE International Symposium on Information Theory (ISIT)","location":"Melbourne, Australia","start":{"date-parts":[[2021,7,12]]},"end":{"date-parts":[[2021,7,20]]}},"container-title":["2021 IEEE International Symposium on Information Theory (ISIT)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9517708\/9517709\/09518152.pdf?arnumber=9518152","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,3,12]],"date-time":"2026-03-12T20:35:08Z","timestamp":1773347708000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9518152\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,7,12]]},"references-count":22,"URL":"https:\/\/doi.org\/10.1109\/isit45174.2021.9518152","relation":{},"subject":[],"published":{"date-parts":[[2021,7,12]]}}}