{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,14]],"date-time":"2025-10-14T01:08:53Z","timestamp":1760404133320,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":19,"publisher":"ACM","license":[{"start":{"date-parts":[[2009,6,14]],"date-time":"2009-06-14T00:00:00Z","timestamp":1244937600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"DOI":"10.13039\/501100002920","name":"Research Grants Council, University Grants Committee, Hong Kong","doi-asserted-by":"publisher","award":["614508"],"award-info":[{"award-number":["614508"]}],"id":[{"id":"10.13039\/501100002920","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["6.06E+15"],"award-info":[{"award-number":["6.06E+15"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004608","name":"National Natural Science Foundation of Jiangsu Province","doi-asserted-by":"publisher","award":["BK2008018"],"award-info":[{"award-number":["BK2008018"]}],"id":[{"id":"10.13039\/501100004608","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2009,6,14]]},"DOI":"10.1145\/1553374.1553456","type":"proceedings-article","created":{"date-parts":[[2009,6,16]],"date-time":"2009-06-16T13:34:36Z","timestamp":1245159276000},"page":"633-640","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":72,"title":["Semi-supervised learning using label mean"],"prefix":"10.1145","author":[{"given":"Yu-Feng","family":"Li","sequence":"first","affiliation":[{"name":"Nanjing University, Nanjing, China"}]},{"given":"James T.","family":"Kwok","sequence":"additional","affiliation":[{"name":"Hong Kong University of Science and Technology, Clear Water Bay, Hong Kong"}]},{"given":"Zhi-Hua","family":"Zhou","sequence":"additional","affiliation":[{"name":"Nanjing University, Nanjing, China"}]}],"member":"320","published-online":{"date-parts":[[2009,6,14]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1145\/1015330.1015424"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.5555\/1248547.1248632"},{"key":"e_1_3_2_1_3_1","first-page":"368","article-title":"Semi-supervised support vector machines","volume":"11","author":"Bennett K.","year":"1999","unstructured":"Bennett , K. , & Demiriz , A. ( 1999 ). Semi-supervised support vector machines . In Advances in Neural Information Processing Systems 11 , 368 -- 374 . Bennett, K., & Demiriz, A. (1999). Semi-supervised support vector machines. In Advances in Neural Information Processing Systems 11, 368--374.","journal-title":"Advances in Neural Information Processing Systems"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"crossref","DOI":"10.7551\/mitpress\/9780262033589.001.0001","volume-title":"Semi-supervised learning","author":"Chapelle O.","year":"2006","unstructured":"Chapelle , O. , Sch\u00f6lkopf , B. , & Zien , A. (Eds.). ( 2006 ). Semi-supervised learning . Cambridge, MA : MIT Press . Chapelle, O., Sch\u00f6lkopf, B., & Zien, A. (Eds.). (2006). Semi-supervised learning. Cambridge, MA: MIT Press."},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.5555\/1390681.1390688"},{"key":"e_1_3_2_1_6_1","volume-title":"Proceeding of the 8th International Conference on Artificial Intelligence and Statistics (pp. 57--64)","author":"Chapelle O.","year":"2005","unstructured":"Chapelle , O. , & Zien , A. ( 2005 ). Semi-supervised learning by low density separation . Proceeding of the 8th International Conference on Artificial Intelligence and Statistics (pp. 57--64) . Chapelle, O., & Zien, A. (2005). Semi-supervised learning by low density separation. Proceeding of the 8th International Conference on Artificial Intelligence and Statistics (pp. 57--64)."},{"key":"e_1_3_2_1_7_1","first-page":"537","article-title":"Support vector machines with a reject option","volume":"21","author":"Grandvalet Y.","year":"2009","unstructured":"Grandvalet , Y. , Rakotomamonjy , A. , Keshet , J. , & Canu , S. ( 2009 ). Support vector machines with a reject option . In Advances in Neural Information Processing Systems 21 , 537 -- 544 . Grandvalet, Y., Rakotomamonjy, A., Keshet, J., & Canu, S. (2009). Support vector machines with a reject option. In Advances in Neural Information Processing Systems 21, 537--544.","journal-title":"Advances in Neural Information Processing Systems"},{"key":"e_1_3_2_1_8_1","first-page":"513","article-title":"A kernel method for the two-sample-problem","volume":"19","author":"Gretton A.","year":"2006","unstructured":"Gretton , A. , Borgwardt , K. M. , Rasch , M. , Sch\u00f6lkopf , B. , & Smola , A. J. ( 2006 ). A kernel method for the two-sample-problem . In Advances in Neural Information Processing Systems 19 , 513 -- 520 . Gretton, A., Borgwardt, K. M., Rasch, M., Sch\u00f6lkopf, B., & Smola, A. J. (2006). A kernel method for the two-sample-problem. In Advances in Neural Information Processing Systems 19, 513--520.","journal-title":"Advances in Neural Information Processing Systems"},{"key":"e_1_3_2_1_9_1","volume-title":"Proceeding of the 16th International Conference on Machine Learning (pp. 200--209)","author":"Joachims T.","year":"1999","unstructured":"Joachims , T. ( 1999 ). Transductive inference for text classification using support vector machines . Proceeding of the 16th International Conference on Machine Learning (pp. 200--209) . Joachims, T. (1999). Transductive inference for text classification using support vector machines. Proceeding of the 16th International Conference on Machine Learning (pp. 200--209)."},{"key":"e_1_3_2_1_10_1","volume-title":"Cutting-plane training of structural SVMs. Machine Learning, to appear","author":"Joachims T.","year":"2009","unstructured":"Joachims , T. , Finley , T. , & Yu , C.-N. ( 2009 ). Cutting-plane training of structural SVMs. Machine Learning, to appear . Joachims, T., Finley, T., & Yu, C.-N. (2009). Cutting-plane training of structural SVMs. Machine Learning, to appear."},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1137\/0108053"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.5555\/1005332.1005334"},{"key":"e_1_3_2_1_13_1","volume-title":"Proceeding of the 12th International Conference on Artificial Intelligence and Statistics (pp. 344--351)","author":"Li Y.-F.","year":"2009","unstructured":"Li , Y.-F. , Tsang , I. W. , Kwok , J. T. , & Zhou , Z.-H. ( 2009 ). Tighter and convex maximum margin clustering . Proceeding of the 12th International Conference on Artificial Intelligence and Statistics (pp. 344--351) . Li, Y.-F., Tsang, I. W., Kwok, J. T., & Zhou, Z.-H. (2009). Tighter and convex maximum margin clustering. Proceeding of the 12th International Conference on Artificial Intelligence and Statistics (pp. 344--351)."},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2008.235"},{"key":"e_1_3_2_1_15_1","first-page":"2491","volume":"9","author":"Rakotomamonjy A.","year":"2008","unstructured":"Rakotomamonjy , A. , Bach , F. R. , Canu , S. , & Grandvalet , Y. ( 2008 ). SimpleMKL. Journal of Machine Learning Research , 9 , 2491 -- 2521 . Rakotomamonjy, A., Bach, F. R., Canu, S., & Grandvalet, Y. (2008). SimpleMKL. Journal of Machine Learning Research, 9, 2491--2521.","journal-title":"Journal of Machine Learning Research"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.5555\/1248547.1248604"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.5555\/1046920.1088722"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/bti497"},{"key":"e_1_3_2_1_19_1","first-page":"1825","article-title":"An extended level method for efficient multiple kernel learning","volume":"21","author":"Xu Z.","year":"2009","unstructured":"Xu , Z. , Jin , R. , King , I. , & Lyu , M. R. ( 2009 ). An extended level method for efficient multiple kernel learning . In Advances in Neural Information Processing Systems 21 , 1825 -- 1832 . Xu, Z., Jin, R., King, I., & Lyu, M. R. (2009). An extended level method for efficient multiple kernel learning. In Advances in Neural Information Processing Systems 21, 1825--1832.","journal-title":"Advances in Neural Information Processing Systems"}],"event":{"name":"ICML '09: The 26th Annual International Conference on Machine Learning held in conjunction with the 2007 International Conference on Inductive Logic Programming","sponsor":["NSF","Microsoft Research Microsoft Research","MITACS"],"location":"Montreal Quebec Canada","acronym":"ICML '09"},"container-title":["Proceedings of the 26th Annual International Conference on Machine Learning"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/1553374.1553456","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/1553374.1553456","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T13:29:35Z","timestamp":1750253375000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/1553374.1553456"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2009,6,14]]},"references-count":19,"alternative-id":["10.1145\/1553374.1553456","10.1145\/1553374"],"URL":"https:\/\/doi.org\/10.1145\/1553374.1553456","relation":{},"subject":[],"published":{"date-parts":[[2009,6,14]]},"assertion":[{"value":"2009-06-14","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}