{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,21]],"date-time":"2026-02-21T18:38:12Z","timestamp":1771699092100,"version":"3.50.1"},"reference-count":18,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"DOI":"10.1109\/ijcnn.2004.1381143","type":"proceedings-article","created":{"date-parts":[[2005,3,21]],"date-time":"2005-03-21T20:07:39Z","timestamp":1111435659000},"page":"2991-2996","source":"Crossref","is-referenced-by-count":2,"title":["The support vector machine learning using the second order cone programming"],"prefix":"10.1109","volume":"4","author":[{"given":"R.","family":"Debnath","sequence":"first","affiliation":[]},{"given":"M.","family":"Muramatsu","sequence":"additional","affiliation":[]},{"given":"H.","family":"Takahashi","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"17","author":"vapnik","year":"1998","journal-title":"Stasistical Learning Theory"},{"key":"18","author":"bress","year":"1992","journal-title":"Numerical Receipes in C (The Art of Scientific Computing) 2nd Ed"},{"key":"15","doi-asserted-by":"publisher","DOI":"10.1162\/089976603322385108"},{"key":"16","author":"ra?tsch","year":"2003","journal-title":"Benchmark Data Sets"},{"key":"13","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9780511801389"},{"key":"14","doi-asserted-by":"publisher","DOI":"10.1162\/089976603321891855"},{"key":"11","doi-asserted-by":"publisher","DOI":"10.1023\/A:1012427100071"},{"key":"12","author":"blake","year":"1998","journal-title":"UCI repository of machine learning databases"},{"key":"3","doi-asserted-by":"publisher","DOI":"10.1137\/1.9780898718829"},{"key":"2","author":"golub","year":"1989","journal-title":"Matrix Computations 2nd ed"},{"key":"1","doi-asserted-by":"publisher","DOI":"10.1007\/PL00011378"},{"key":"10","article-title":"An improved training algorithm for support vector machines","author":"osuna","year":"1997","journal-title":"Proc IEEE '97"},{"key":"7","doi-asserted-by":"publisher","DOI":"10.1080\/10556789908805759"},{"key":"6","doi-asserted-by":"publisher","DOI":"10.1137\/S1052623494269035"},{"key":"5","doi-asserted-by":"publisher","DOI":"10.1137\/0806020"},{"key":"4","doi-asserted-by":"publisher","DOI":"10.1137\/S1052623495293056"},{"key":"9","first-page":"169","article-title":"Making large-scale support vector machine learning practical","author":"joachims","year":"1998","journal-title":"Advances in Kernel Methods Support Vector Machines"},{"key":"8","first-page":"185","article-title":"Fast training of support vector machines using sequential minimal optimization","author":"platt","year":"1998","journal-title":"Advances in Kernel Methods Support Vector Machines"}],"event":{"name":"2004 IEEE International Joint Conference on Neural Networks","location":"Budapest, Hungary","acronym":"IJCNN-04"},"container-title":["2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No.04CH37541)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx5\/9486\/30109\/01381143.pdf?arnumber=1381143","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2017,3,14]],"date-time":"2017-03-14T23:28:13Z","timestamp":1489534093000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/1381143\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[null]]},"references-count":18,"URL":"https:\/\/doi.org\/10.1109\/ijcnn.2004.1381143","relation":{},"subject":[]}}