{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,23]],"date-time":"2024-10-23T06:20:08Z","timestamp":1729664408843,"version":"3.28.0"},"reference-count":26,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2015,1]]},"DOI":"10.1109\/rivf.2015.7049868","type":"proceedings-article","created":{"date-parts":[[2015,3,3]],"date-time":"2015-03-03T20:04:05Z","timestamp":1425413045000},"page":"19-24","source":"Crossref","is-referenced-by-count":0,"title":["Experimental analysis of new algorithms for learning ternary classifiers"],"prefix":"10.1109","author":[{"given":"Jean-Daniel","family":"Zucker","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yann","family":"Chevaleyre","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"family":"Dao Van Sang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0001806"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1242\/jeb.004432"},{"key":"ref12","first-page":"856","article-title":"Feature selection for high-dimensional data: A fast correlation-based filter solution","volume":"20","author":"yu","year":"2003","journal-title":"Machine Learning-International Workshop Then Conference"},{"article-title":"Feature Selection for High-Dimensional Data with RapidMiner","year":"2012","author":"lee","key":"ref13"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2007.1095"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2013.17"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0028210"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1093\/bib\/bbr001"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1038\/embor.2008.212"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pcbi.1000667"},{"key":"ref4","doi-asserted-by":"crossref","DOI":"10.1007\/978-1-4614-7138-7","author":"james","year":"2013","journal-title":"An Introduction to Statistical Learning with Applications in R"},{"journal-title":"The elements of statistical learning data mining inference and prediction The Mathematical","year":"2009","author":"hastie","key":"ref3"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/s10115-006-0040-8"},{"key":"ref5","first-page":"1","article-title":"Introduction to Clustering Large and High-Dimensional Data","author":"kogan","year":"2007"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1186\/1471-2105-10-S4-S7"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1145\/1007730.1007731"},{"key":"ref2","article-title":"Ultrahigh dimensional feature selection: beyond the linear model","author":"fan","year":"2009","journal-title":"The Journal of Machine Learning &#x2026;"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1155\/2007\/38473"},{"key":"ref1","first-page":"651","article-title":"Rounding methods for discrete linear classification","volume":"28","author":"chevaleyre","year":"2013","journal-title":"JMLR WCP"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/j.cell.2011.09.009"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1038\/nbt.2942"},{"journal-title":"Metagenomics of the Human Body","year":"2010","author":"nelson","key":"ref21"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pcbi.0030116"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1038\/nature08821"},{"key":"ref26","article-title":"lpsolve: Open source (mixed-integer) linear programming system","author":"berkelaar","year":"2004","journal-title":"Eindhoven U of Technology"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1007\/BF02579324"}],"event":{"name":"2015 IEEE RIVF International Conference on Computing & Communication Technologies, Research, Innovation, and Vision for the Future (RIVF)","start":{"date-parts":[[2015,1,25]]},"location":"Can Tho, Vietnam","end":{"date-parts":[[2015,1,28]]}},"container-title":["The 2015 IEEE RIVF International Conference on Computing &amp; Communication Technologies - Research, Innovation, and Vision for Future (RIVF)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/7041252\/7049862\/07049868.pdf?arnumber=7049868","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2017,6,23]],"date-time":"2017-06-23T06:37:51Z","timestamp":1498199871000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/7049868\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015,1]]},"references-count":26,"URL":"https:\/\/doi.org\/10.1109\/rivf.2015.7049868","relation":{},"subject":[],"published":{"date-parts":[[2015,1]]}}}