{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,29]],"date-time":"2026-04-29T08:03:58Z","timestamp":1777449838161,"version":"3.51.4"},"publisher-location":"New York, NY, USA","reference-count":30,"publisher":"ACM","license":[{"start":{"date-parts":[[2012,8,12]],"date-time":"2012-08-12T00:00:00Z","timestamp":1344729600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2012,8,12]]},"DOI":"10.1145\/2339530.2339615","type":"proceedings-article","created":{"date-parts":[[2012,8,14]],"date-time":"2012-08-14T12:18:56Z","timestamp":1344946736000},"page":"525-533","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":56,"title":["Multi-label hypothesis reuse"],"prefix":"10.1145","author":[{"given":"Sheng-Jun","family":"Huang","sequence":"first","affiliation":[{"name":"Nanjing University, Nanjing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yang","family":"Yu","sequence":"additional","affiliation":[{"name":"Nanjing University, Nanjing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhi-Hua","family":"Zhou","sequence":"additional","affiliation":[{"name":"Nanjing University, Nanjing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2012,8,12]]},"reference":[{"key":"e_1_3_2_2_1_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2004.03.009"},{"key":"e_1_3_2_2_2_1","first-page":"185","volume-title":"Advances in Neural Information Processing Systems 20","author":"Bradley J. K.","year":"2008","unstructured":"J. K. Bradley and R. E. Schapire . Filterboost: regression and classification on large datasets . In Advances in Neural Information Processing Systems 20 , pages 185 -- 192 . MIT Press , Cambridge, MA , 2008 . J. K. Bradley and R. E. Schapire. Filterboost: regression and classification on large datasets. In Advances in Neural Information Processing Systems 20, pages 185--192. MIT Press, Cambridge, MA, 2008."},{"key":"e_1_3_2_2_3_1","doi-asserted-by":"publisher","DOI":"10.5555\/1625275.1625388"},{"key":"e_1_3_2_2_4_1","doi-asserted-by":"publisher","DOI":"10.1145\/1031171.1031186"},{"key":"e_1_3_2_2_5_1","doi-asserted-by":"publisher","DOI":"10.1145\/1143844.1143867"},{"key":"e_1_3_2_2_6_1","doi-asserted-by":"publisher","DOI":"10.5555\/1759548.1759554"},{"key":"e_1_3_2_2_7_1","first-page":"177","volume-title":"A. Abraham, A.-E","author":"de Carvalho A.","year":"2009","unstructured":"A. de Carvalho and A. Freitas . A tutorial on multi-label classification techniques . In A. Abraham, A.-E . Hassanien, and V. Snael, editors, Foundations of Computational Intelligence, Vol .5, pages 177 -- 195 . Springer , 2009 . A. de Carvalho and A. Freitas. A tutorial on multi-label classification techniques. In A. Abraham, A.-E. Hassanien, and V. Snael, editors, Foundations of Computational Intelligence, Vol.5, pages 177--195. Springer, 2009."},{"key":"e_1_3_2_2_8_1","doi-asserted-by":"crossref","first-page":"681","DOI":"10.7551\/mitpress\/1120.003.0092","volume-title":"Advances in Neural Information Processing Systems 14","author":"Elisseeff A.","year":"2002","unstructured":"A. Elisseeff and J. Weston . A kernel method for multi-labelled classification . In Advances in Neural Information Processing Systems 14 , pages 681 -- 687 . MIT Press , Cambridge, MA , 2002 . A. Elisseeff and J. Weston. A kernel method for multi-labelled classification. In Advances in Neural Information Processing Systems 14, pages 681--687. MIT Press, Cambridge, MA, 2002."},{"key":"e_1_3_2_2_9_1","doi-asserted-by":"publisher","DOI":"10.1006\/jcss.1997.1504"},{"key":"e_1_3_2_2_10_1","doi-asserted-by":"publisher","DOI":"10.1145\/1099554.1099591"},{"key":"e_1_3_2_2_11_1","doi-asserted-by":"publisher","DOI":"10.1145\/1656274.1656278"},{"key":"e_1_3_2_2_12_1","doi-asserted-by":"publisher","DOI":"10.5555\/3104322.3104377"},{"key":"e_1_3_2_2_13_1","volume-title":"Proceedings of the 26th AAAI Conference on Artificial Intelligence","author":"Huang S.-J.","year":"2012","unstructured":"S.-J. Huang and Z.-H. Zhou . Multi-label learning by exploiting label correlations locally . In Proceedings of the 26th AAAI Conference on Artificial Intelligence , Toronto, Canada , 2012 . S.-J. Huang and Z.-H. Zhou. Multi-label learning by exploiting label correlations locally. In Proceedings of the 26th AAAI Conference on Artificial Intelligence, Toronto, Canada, 2012."},{"key":"e_1_3_2_2_14_1","doi-asserted-by":"publisher","DOI":"10.1145\/1401890.1401939"},{"key":"e_1_3_2_2_15_1","volume-title":"Proceedinds of the 1st Conference on Email and Anti-Spam","author":"Klimt B.","year":"2004","unstructured":"B. Klimt and Y. Yang . Introducing the enron corpus . In Proceedinds of the 1st Conference on Email and Anti-Spam , Mountain View, CA , 2004 . B. Klimt and Y. Yang. Introducing the enron corpus. In Proceedinds of the 1st Conference on Email and Anti-Spam, Mountain View, CA, 2004."},{"key":"e_1_3_2_2_16_1","volume-title":"Working Notes of the AAAI'99 Workshop on Text Learning","author":"McCallum A.","year":"1999","unstructured":"A. McCallum . Multi-label text classification with a mixture model trained by EM . In Working Notes of the AAAI'99 Workshop on Text Learning , Orlando, FL , 1999 . A. McCallum. Multi-label text classification with a mixture model trained by EM. In Working Notes of the AAAI'99 Workshop on Text Learning, Orlando, FL, 1999."},{"key":"e_1_3_2_2_17_1","volume-title":"Advances in Neural Information Processing Systems 24","author":"Petterson J.","year":"2011","unstructured":"J. Petterson and T. Caetano . Submodular multi-label learning . In Advances in Neural Information Processing Systems 24 . MIT Press , Cambridge, MA , 2011 . J. Petterson and T. Caetano. Submodular multi-label learning. In Advances in Neural Information Processing Systems 24. MIT Press, Cambridge, MA, 2011."},{"key":"e_1_3_2_2_18_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10994-011-5256-5"},{"key":"e_1_3_2_2_19_1","doi-asserted-by":"publisher","DOI":"10.1145\/1102351.1102445"},{"key":"e_1_3_2_2_20_1","doi-asserted-by":"publisher","DOI":"10.1023\/A:1007614523901"},{"key":"e_1_3_2_2_21_1","doi-asserted-by":"publisher","DOI":"10.1023\/A:1007649029923"},{"key":"e_1_3_2_2_22_1","doi-asserted-by":"publisher","DOI":"10.1145\/505282.505283"},{"key":"e_1_3_2_2_23_1","doi-asserted-by":"publisher","DOI":"10.1145\/1401890.1401971"},{"key":"e_1_3_2_2_24_1","first-page":"101","volume-title":"Proceedings of the 1st International Workshop on Learning from Multi-Label Data","author":"Tsoumakas G.","year":"2009","unstructured":"G. Tsoumakas , A. Dimou , E. Spyromitros , and V. Mezaris . Correlation-based pruning of stacked binary relevance models for multi-label learning . In Proceedings of the 1st International Workshop on Learning from Multi-Label Data , pages 101 -- 116 , Bled, Slovenia , 2009 . G. Tsoumakas, A. Dimou, E. Spyromitros, and V. Mezaris. Correlation-based pruning of stacked binary relevance models for multi-label learning. In Proceedings of the 1st International Workshop on Learning from Multi-Label Data, pages 101--116, Bled, Slovenia, 2009."},{"key":"e_1_3_2_2_25_1","doi-asserted-by":"publisher","DOI":"10.5555\/1115596.1115600"},{"key":"e_1_3_2_2_26_1","volume-title":"Springer-Verlag","author":"Vapnik V. N.","year":"1982","unstructured":"V. N. Vapnik . Estimation of Dependences Based on Empirical Data . Springer-Verlag , New Yorks, NY , 1982 . V. N. Vapnik. Estimation of Dependences Based on Empirical Data. Springer-Verlag, New Yorks, NY, 1982."},{"key":"e_1_3_2_2_27_1","doi-asserted-by":"publisher","DOI":"10.1145\/1281192.1281281"},{"key":"e_1_3_2_2_28_1","doi-asserted-by":"publisher","DOI":"10.1145\/1835804.1835930"},{"key":"e_1_3_2_2_29_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2006.12.019"},{"key":"e_1_3_2_2_30_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.artint.2011.10.002"}],"event":{"name":"KDD '12: The 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining","location":"Beijing China","acronym":"KDD '12","sponsor":["SIGMOD ACM Special Interest Group on Management of Data","SIGKDD ACM Special Interest Group on Knowledge Discovery in Data"]},"container-title":["Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/2339530.2339615","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/2339530.2339615","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T09:34:12Z","timestamp":1750239252000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/2339530.2339615"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2012,8,12]]},"references-count":30,"alternative-id":["10.1145\/2339530.2339615","10.1145\/2339530"],"URL":"https:\/\/doi.org\/10.1145\/2339530.2339615","relation":{},"subject":[],"published":{"date-parts":[[2012,8,12]]},"assertion":[{"value":"2012-08-12","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}