{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T04:38:47Z","timestamp":1750307927534,"version":"3.41.0"},"reference-count":29,"publisher":"Association for Computing Machinery (ACM)","issue":"2","license":[{"start":{"date-parts":[[2006,12,1]],"date-time":"2006-12-01T00:00:00Z","timestamp":1164931200000},"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":["SIGKDD Explor. Newsl."],"published-print":{"date-parts":[[2006,12]]},"abstract":"<jats:p>This paper presents our winner solution for the KDD Cup 2006 problem. It is based on the results of three different supervised learning techniques which are then combined in a classifier committee, and finally a single solution is obtained with a voting procedure. The voting procedure assigns weights to each member of the committee according to their average performance on a ten-fold cross-validation test and it also takes into account the confidence values returned by the three algorithms. The final decision of the committee is determined by means of a parameterized veto strategy, which takes into consideration the maximal allowed error rate beside the confidence values of the committee members. The solution presented here won Task 2 and became runner-up at Task 1 in the competition.<\/jats:p>","DOI":"10.1145\/1233321.1233328","type":"journal-article","created":{"date-parts":[[2007,4,5]],"date-time":"2007-04-05T19:52:18Z","timestamp":1175802738000},"page":"53-62","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":2,"title":["Voting with a parameterized veto strategy"],"prefix":"10.1145","volume":"8","author":[{"given":"Domonkos","family":"Tikk","sequence":"first","affiliation":[{"name":"Budapest University of Technology and Economics, Hungary, Hungary"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zsolt T.","family":"Kardkov\u00e1cs","sequence":"additional","affiliation":[{"name":"Budapest University of Technology and Economics, Hungary, Hungary"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ferenc P.","family":"Szidarovszky","sequence":"additional","affiliation":[{"name":"Budapest University of Technology and Economics, Hungary, Hungary"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2006,12]]},"reference":[{"key":"e_1_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1016\/B978-1-55860-377-6.50017-7"},{"key":"e_1_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2002.804682"},{"key":"e_1_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1145\/243199.243278"},{"key":"e_1_2_1_4_1","first-page":"55","volume-title":"Proc. of the 2nd Conf. on Empirical Methods in Natural Language Processing (EMNLP 97)","author":"Dagan I.","year":"1997","unstructured":"I. 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