{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,23]],"date-time":"2024-10-23T07:38:30Z","timestamp":1729669110313,"version":"3.28.0"},"reference-count":10,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2008,3]]},"DOI":"10.1109\/icassp.2008.4518026","type":"proceedings-article","created":{"date-parts":[[2008,5,15]],"date-time":"2008-05-15T14:49:25Z","timestamp":1210862965000},"page":"1981-1984","source":"Crossref","is-referenced-by-count":1,"title":["Learning to satisfy"],"prefix":"10.1109","author":[{"given":"Frederic","family":"Thouin","sequence":"first","affiliation":[]},{"given":"Mark","family":"Coates","sequence":"additional","affiliation":[]},{"given":"Brian","family":"Erikkson","sequence":"additional","affiliation":[]},{"given":"Robert","family":"Nowak","sequence":"additional","affiliation":[]},{"given":"Clayton","family":"Scott","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"3","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.2005.856955"},{"key":"2","article-title":"learning with the neyman-pearson and min-max criteria","author":"cannon","year":"2002","journal-title":"Tech Rep LA-UR"},{"key":"10","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2007.893758"},{"key":"1","doi-asserted-by":"crossref","first-page":"479","DOI":"10.1111\/1467-9868.00346","article-title":"a direct approach to false discovery rates","volume":"64","author":"storey","year":"2002","journal-title":"J R Statist Soc (Series B)"},{"key":"7","first-page":"665","article-title":"learning minimum volume sets","volume":"7","author":"scott","year":"2006","journal-title":"J Machine Learn Res"},{"key":"6","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2006.52"},{"key":"5","article-title":"scenario-based stochastic constraint programming","author":"manandhar","year":"2003","journal-title":"Proc Int J Conf Artificial Intelligence (IJCAI)"},{"key":"4","doi-asserted-by":"publisher","DOI":"10.1016\/S0004-3702(02)00379-X"},{"key":"9","article-title":"dual- support vector machine with error rate and training size biasing","author":"chew","year":"2001","journal-title":"Proc Int Conf Acoustics Speech and Signal Proc (ICASSP)"},{"key":"8","doi-asserted-by":"publisher","DOI":"10.1016\/S0304-4149(97)00028-8"}],"event":{"name":"ICASSP 2008 - 2008 IEEE International Conference on Acoustics, Speech and Signal Processing","start":{"date-parts":[[2008,3,31]]},"location":"Las Vegas, NV, USA","end":{"date-parts":[[2008,4,4]]}},"container-title":["2008 IEEE International Conference on Acoustics, Speech and Signal Processing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx5\/4505270\/4517521\/04518026.pdf?arnumber=4518026","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2017,6,18]],"date-time":"2017-06-18T08:16:22Z","timestamp":1497773782000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/4518026\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2008,3]]},"references-count":10,"URL":"https:\/\/doi.org\/10.1109\/icassp.2008.4518026","relation":{},"ISSN":["1520-6149"],"issn-type":[{"type":"print","value":"1520-6149"}],"subject":[],"published":{"date-parts":[[2008,3]]}}}