{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,17]],"date-time":"2026-05-17T20:07:17Z","timestamp":1779048437495,"version":"3.51.4"},"publisher-location":"New York, NY, USA","reference-count":20,"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"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2009,6,14]]},"DOI":"10.1145\/1553374.1553421","type":"proceedings-article","created":{"date-parts":[[2009,6,16]],"date-time":"2009-06-16T09:34:36Z","timestamp":1245144876000},"page":"361-368","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":12,"title":["Fast evolutionary maximum margin clustering"],"prefix":"10.1145","author":[{"given":"Fabian","family":"Gieseke","sequence":"first","affiliation":[{"name":"TU Dortmund, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tapio","family":"Pahikkala","sequence":"additional","affiliation":[{"name":"University of Turku, Finland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Oliver","family":"Kramer","sequence":"additional","affiliation":[{"name":"TU Dortmund, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2009,6,14]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2007.4371235"},{"key":"e_1_3_2_1_2_1","volume-title":"Adv. in Neural Information Proc. Systems 20 (pp. 49--56)","author":"Bach F.","year":"2008","unstructured":"Bach, F., &amp; Harchaoui, Z. (2008). Diffrac: a discriminative and flexible framework for clustering. Adv. in Neural Information Proc. Systems 20 (pp. 49--56)."},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1023\/A:1015059928466"},{"key":"e_1_3_2_1_4_1","volume-title":"LIBSVM: a library for support vector machines. Software","author":"Chang C.-C.","year":"2001","unstructured":"Chang, C.-C., &amp; Lin, C.-J. (2001). LIBSVM: a library for support vector machines. Software available at http:\/\/www.csie.ntu.edu.tw\/~cjlin\/libsvm."},{"key":"e_1_3_2_1_5_1","volume-title":"Matrix computations. Baltimore and","author":"Golub G. H.","year":"1989","unstructured":"Golub, G. H., &amp; Van Loan, C. (1989). Matrix computations. Baltimore and London: Johns Hopkins University Press. Second edition."},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.2307\/2346830"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.5555\/42779"},{"key":"e_1_3_2_1_8_1","volume-title":"Adv. in learning theory: Methods, models and applications","author":"Rifkin R.","year":"2003","unstructured":"Rifkin, R., Yeo, G., &amp; Poggio, T. (2003). Regularized least-squares classification. In Adv. in learning theory: Methods, models and applications. IOS Press."},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.5555\/936602"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.5555\/648300.755324"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICHIS.2005.21"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.5555\/1481236"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1023\/A:1018628609742"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.7551\/mitpress\/7503.003.0182"},{"key":"e_1_3_2_1_15_1","volume-title":"Statistical learning theory","author":"Vapnik V.","year":"1998","unstructured":"Vapnik, V. (1998). Statistical learning theory. New York: Wiley."},{"key":"e_1_3_2_1_16_1","volume-title":"Adv. in Neural Information Proc. Systems 17 (pp. 1537--1544)","author":"Xu L.","year":"2005","unstructured":"Xu, L., Neufeld, J., Larson, B., &amp; Schuurmans, D. (2005). Maximum margin clustering. Adv. in Neural Information Proc. Systems 17 (pp. 1537--1544)."},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.5555\/1619410.1619478"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1145\/1273496.1273637"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1137\/1.9781611972788.68"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1145\/1390156.1390313"}],"event":{"name":"ICML '09: The 26th Annual International Conference on Machine Learning held in conjunction with the 2007 International Conference on Inductive Logic Programming","location":"Montreal Quebec Canada","acronym":"ICML '09","sponsor":["MITACS","Microsoft Research Microsoft Research","NSF"]},"container-title":["Proceedings of the 26th Annual International Conference on Machine Learning"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/1553374.1553421","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/1553374.1553421","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,5,17]],"date-time":"2026-05-17T19:51:50Z","timestamp":1779047510000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/1553374.1553421"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2009,6,14]]},"references-count":20,"alternative-id":["10.1145\/1553374.1553421","10.1145\/1553374"],"URL":"https:\/\/doi.org\/10.1145\/1553374.1553421","relation":{},"subject":[],"published":{"date-parts":[[2009,6,14]]},"assertion":[{"value":"2009-06-14","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}