{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,30]],"date-time":"2026-09-30T20:09:00Z","timestamp":1790798940778,"version":"4.1.0"},"publisher-location":"New York, NY, USA","reference-count":17,"publisher":"ACM","license":[{"start":{"date-parts":[[2007,6,20]],"date-time":"2007-06-20T00:00:00Z","timestamp":1182297600000},"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":[[2007,6,20]]},"DOI":"10.1145\/1273496.1273520","type":"proceedings-article","created":{"date-parts":[[2008,10,7]],"date-time":"2008-10-07T13:06:52Z","timestamp":1223384812000},"page":"185-192","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":11,"title":["Kernel selection forl semi-supervised kernel machines"],"prefix":"10.1145","author":[{"given":"Guang","family":"Dai","sequence":"first","affiliation":[{"name":"Hong Kong University of Science and Technology, Kowloon, Hong Kong, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Dit-Yan","family":"Yeung","sequence":"additional","affiliation":[{"name":"Hong Kong University of Science and Technology, Kowloon, Hong Kong, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2007,6,20]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"Combining graph Laplacians for semi--supervised learning. Advances in Neural Information Processing Systems 18","author":"Argyriou A.","year":"2006","unstructured":"Argyriou , A. , Herbster , M. , & Pontil , M. ( 2006 ). Combining graph Laplacians for semi--supervised learning. Advances in Neural Information Processing Systems 18 . MIT Press , Cambridge, MA, USA . Argyriou, A., Herbster, M., & Pontil, M. (2006). Combining graph Laplacians for semi--supervised learning. Advances in Neural Information Processing Systems 18. MIT Press, Cambridge, MA, USA."},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1007\/11503415_23"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1023\/B:MACH.0000033120.25363.1e"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.5555\/1248547.1248632"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1145\/1143844.1143868"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1023\/A:1012450327387"},{"key":"e_1_3_2_1_7_1","volume-title":"Proceedings of the Tenth International Workshop on Artificial Intelligence and Statistics (pp. 57--64)","author":"Chapelle O.","year":"2005","unstructured":"Chapelle , O. , & Zien , A. ( 2005 ). Semi-supervised classification by low density separation . Proceedings of the Tenth International Workshop on Artificial Intelligence and Statistics (pp. 57--64) . Chapelle, O., & Zien, A. (2005). Semi-supervised classification by low density separation. Proceedings of the Tenth International Workshop on Artificial Intelligence and Statistics (pp. 57--64)."},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.5555\/645528.657646"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.5555\/1005332.1005334"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.5555\/1046920"},{"key":"e_1_3_2_1_11_1","volume-title":"Convex analysis. Princeton Landmarks in Mathematics and Physics","author":"Rockafellar R.","year":"1996","unstructured":"Rockafellar , R. ( 1996 ). Convex analysis. Princeton Landmarks in Mathematics and Physics . Princeton University Press ; Reprint edition. Rockafellar, R. (1996). Convex analysis. Princeton Landmarks in Mathematics and Physics. Princeton University Press; Reprint edition."},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1145\/1143844.1143950"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1145\/1102351.1102455"},{"key":"e_1_3_2_1_15_1","volume-title":"Learning with local and global consistency. Advances in Neural Information Processing Systems 16 (pp. 321--328)","author":"Zhou D.","year":"2004","unstructured":"Zhou , D. , Bousquet , O. , Lal , T. , Weston , J. , & Sch ö\u00f6lkopf, B. ( 2004 ). Learning with local and global consistency. Advances in Neural Information Processing Systems 16 (pp. 321--328) . MIT Press , Cambridge, MA, USA . Zhou, D., Bousquet, O., Lal, T., Weston, J., & Schö\u00f6lkopf, B. (2004). Learning with local and global consistency. Advances in Neural Information Processing Systems 16 (pp. 321--328). MIT Press, Cambridge, MA, USA."},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1145\/1102351.1102482"},{"key":"e_1_3_2_1_17_1","volume-title":"Proceedings of the Twentieth International Conference on Machine Learning (pp. 912--919)","author":"Zhu X.","year":"2003","unstructured":"Zhu , X. , Ghahramani , Z. , & Lafferty , J. ( 2003 ). Semisupervised learning using Gaussian fields and harmonic functions . Proceedings of the Twentieth International Conference on Machine Learning (pp. 912--919) . Zhu, X., Ghahramani, Z., & Lafferty, J. (2003). Semisupervised learning using Gaussian fields and harmonic functions. Proceedings of the Twentieth International Conference on Machine Learning (pp. 912--919)."},{"key":"e_1_3_2_1_18_1","volume-title":"Nonparametric transforms of graph kernels for semi-supervised learning. Advances in Neural Information Processing Systems 17","author":"Zhu X.","year":"2005","unstructured":"Zhu , X. , Kandola , J. , Ghahramani , Z. , & Lafferty , J. ( 2005 ). Nonparametric transforms of graph kernels for semi-supervised learning. Advances in Neural Information Processing Systems 17 . Zhu, X., Kandola, J., Ghahramani, Z., & Lafferty, J. (2005). Nonparametric transforms of graph kernels for semi-supervised learning. Advances in Neural Information Processing Systems 17."}],"event":{"name":"ICML '07 & ILP '07: The 24th Annual International Conference on Machine Learning held in conjunction with the 2007 International Conference on Inductive Logic Programming","location":"Corvalis Oregon USA","acronym":"ICML '07 & ILP '07","sponsor":["Machine Learning Journal"]},"container-title":["Proceedings of the 24th international conference on Machine learning"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/1273496.1273520","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/1273496.1273520","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T14:47:53Z","timestamp":1750258073000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/1273496.1273520"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2007,6,20]]},"references-count":17,"alternative-id":["10.1145\/1273496.1273520","10.1145\/1273496"],"URL":"https:\/\/doi.org\/10.1145\/1273496.1273520","relation":{},"subject":[],"published":{"date-parts":[[2007,6,20]]},"assertion":[{"value":"2007-06-20","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}