{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,23]],"date-time":"2024-10-23T00:49:39Z","timestamp":1729644579175,"version":"3.28.0"},"reference-count":20,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2015,9]]},"DOI":"10.1109\/mlsp.2015.7324353","type":"proceedings-article","created":{"date-parts":[[2015,11,12]],"date-time":"2015-11-12T18:09:32Z","timestamp":1447351772000},"page":"1-6","source":"Crossref","is-referenced-by-count":1,"title":["Using a penalized maximum likelihood model for feature selection"],"prefix":"10.1109","author":[{"given":"Amir","family":"Jalalirad","sequence":"first","affiliation":[]},{"given":"Tjalling","family":"Tjalkens","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"journal-title":"Toward Optimal Feature Selection","year":"1996","author":"koller","key":"ref10"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/B978-1-55860-335-6.50023-4"},{"key":"ref12","first-page":"1205","article-title":"Efficient feature selection via analysis of relevance and redundancy","volume":"5","author":"yu","year":"2004","journal-title":"The Journal of Machine Learning Research"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/18.382012"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9780511921889"},{"journal-title":"Penalized maximum likelihood model selection","year":"2015","author":"jalalirad","key":"ref15"},{"journal-title":"Elements of Information Theory","year":"2012","author":"cover","key":"ref16"},{"key":"ref17","doi-asserted-by":"crossref","DOI":"10.7551\/mitpress\/4643.001.0001","author":"gr\u00fcnwald","year":"2007","journal-title":"The Minimum Description Length Principle"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ITA.2008.4601082"},{"key":"ref19","article-title":"An efficient method for computing a bayesian mixture of models","author":"jalalirad","year":"2014","journal-title":"Int Journal of Pattern Recognition and Artificial Intelligence"},{"key":"ref4","first-page":"254","article-title":"Feature selection and ranking filters","volume":"251","author":"duch","year":"2003","journal-title":"Int Conf on Artificial Neural Networks (ICANN) and Int Conf on Neural Information Processing (ICONIP)"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1023\/A:1025667309714"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/72.298224"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2005.159"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.4218\/etrij.11.0110.0237"},{"key":"ref7","first-page":"1531","article-title":"Fast binary feature selection with conditional mutual information","volume":"5","author":"fleuret","year":"2004","journal-title":"The Journal of Machine Learning Research"},{"key":"ref2","doi-asserted-by":"crossref","first-page":"123","DOI":"10.1109\/CVPRW.2011.5981831","article-title":"Fpga implementation of naïve bayes classifier for visual object recognition","author":"meng","year":"2011","journal-title":"Computer Vision and Pattern Recognition Workshops (CVPRW) 2011 IEEE Computer Society Conf on IEEE"},{"key":"ref1","first-page":"61","article-title":"Model selection: Beyond the bayesian\/frequentist divide","volume":"11","author":"guyon","year":"2010","journal-title":"The Journal of Machine Learning Research"},{"key":"ref9","first-page":"116","article-title":"A powerful feature selection approach based on mutual information","volume":"8","author":"el akadi","year":"2008","journal-title":"Int Journal of Computer Science and Network Security"},{"journal-title":"UCI Machine Learning Repository","year":"2013","author":"lichman","key":"ref20"}],"event":{"name":"2015 IEEE 25th International Workshop on Machine Learning for Signal Processing (MLSP)","start":{"date-parts":[[2015,9,17]]},"location":"Boston, MA, USA","end":{"date-parts":[[2015,9,20]]}},"container-title":["2015 IEEE 25th International Workshop on Machine Learning for Signal Processing (MLSP)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/7311793\/7324166\/07324353.pdf?arnumber=7324353","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,9,1]],"date-time":"2019-09-01T09:52:09Z","timestamp":1567331529000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/7324353\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015,9]]},"references-count":20,"URL":"https:\/\/doi.org\/10.1109\/mlsp.2015.7324353","relation":{},"subject":[],"published":{"date-parts":[[2015,9]]}}}