{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,28]],"date-time":"2025-02-28T05:32:44Z","timestamp":1740720764401,"version":"3.38.0"},"reference-count":42,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"5","license":[{"start":{"date-parts":[[2011,7,1]],"date-time":"2011-07-01T00:00:00Z","timestamp":1309478400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Audio Speech Lang. Process."],"published-print":{"date-parts":[[2011,7]]},"DOI":"10.1109\/tasl.2010.2090146","type":"journal-article","created":{"date-parts":[[2010,11,9]],"date-time":"2010-11-09T19:11:16Z","timestamp":1289329876000},"page":"1316-1327","source":"Crossref","is-referenced-by-count":2,"title":["A Regularized Maximum Figure-of-Merit (rMFoM) Approach to Supervised and Semi-Supervised Learning"],"prefix":"10.1109","volume":"19","author":[{"given":"Chengyuan","family":"Ma","sequence":"first","affiliation":[]},{"given":"Chin-Hui","family":"Lee","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1111\/j.2517-6161.1977.tb01600.x","article-title":"Maximum likelihood from incomplete data via the EM algorithm","volume":"39","author":"dempster","year":"1977","journal-title":"J R Statist Soc"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1145\/1015330.1015361"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2002.1005687"},{"journal-title":"Numerical Optimization","year":"2006","author":"nocedal","key":"ref32"},{"key":"ref31","first-page":"200","article-title":"Transductive inference for text classification using support vector machines","author":"joachims","year":"1999","journal-title":"Proc ICML"},{"journal-title":"Semi-supervised learning literature survey","year":"2005","author":"zhu","key":"ref30"},{"key":"ref37","first-page":"1519","article-title":"An interior-point method for large-scale l1-regularized logistic regression","volume":"8","author":"koh","year":"2007","journal-title":"J Mach Learn Res"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1145\/1148170.1148253"},{"key":"ref35","doi-asserted-by":"crossref","first-page":"267","DOI":"10.1111\/j.2517-6161.1996.tb02080.x","article-title":"Regression shrinkage and selection via the lasso","volume":"58","author":"tibshirani","year":"1994","journal-title":"J R Statist Soc Ser B"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1002\/scj.20353"},{"journal-title":"Fundamentals of speech recognition","year":"1993","author":"rabiner","key":"ref10"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/5.726788"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9780511809071"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2009.4959994"},{"key":"ref13","article-title":"An efficient gradient computation approach to discriminative fusion optimization in semantic concept detection","author":"ma","year":"2008","journal-title":"Proc ICPR"},{"key":"ref14","doi-asserted-by":"crossref","first-page":"1895","DOI":"10.21437\/Eurospeech.1997-504","article-title":"The DET curve in assessment of detection task performance","author":"martin","year":"1997","journal-title":"Proc EUROSPEECH"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/78.175747"},{"key":"ref16","doi-asserted-by":"crossref","first-page":"658","DOI":"10.1109\/TPAMI.2007.70730","article-title":"Between classification-error approximation and weighted least-squares learning","volume":"30","author":"toh","year":"2008","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1145\/1102351.1102399"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/89.568732"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/S0167-6393(00)00035-2"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1023\/A:1007692713085"},{"key":"ref4","first-page":"627","article-title":"Trust region Newton method for logistic regression","volume":"9","author":"lin","year":"2008","journal-title":"J Mach Learn Res"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.7551\/mitpress\/9780262033589.001.0001"},{"journal-title":"The Elements of Statistical Learning Data Mining Inference and Prediction","year":"2009","author":"hastie","key":"ref3"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/5.18626"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1162\/0891201041850876"},{"key":"ref5","first-page":"39","article-title":"A maximum entropy approach to natural language processing","volume":"22","author":"berger","year":"1996","journal-title":"Comput Linguist"},{"journal-title":"Statistical Inference","year":"2001","author":"casella","key":"ref8"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/5.880082"},{"journal-title":"Pattern Recognition and Machine Learning","year":"2006","author":"bishop","key":"ref2"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1023\/A:1009715923555"},{"journal-title":"Pattern Classification","year":"2000","author":"duda","key":"ref1"},{"key":"ref20","first-page":"192","article-title":"Comparison of discriminative training methods for speaker verification","author":"ma","year":"2003","journal-title":"Proc ICASSP"},{"key":"ref22","first-page":"679","article-title":"An ensemble classifier learning approach to ROC optimization","author":"gao","year":"2006","journal-title":"Proc ICPR"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1145\/860468.860469"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1137\/1.9780898719857"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1145\/1148020.1148022"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/5.726793"},{"journal-title":"ROC Graphs Notes and Practical Considerations for Data Mining Researchers Tech Rep","year":"2003","author":"fawcett","key":"ref23"},{"key":"ref26","article-title":"Maximum expected <formula formulatype=\"inline\"> <tex Notation=\"TeX\">${\\rm F}$<\/tex><\/formula>-measure training of logistic regression model","author":"jansche","year":"2005","journal-title":"Proc EMNLP"},{"journal-title":"Solution of Ill-Posed Problems","year":"1977","author":"tikhonov","key":"ref25"}],"container-title":["IEEE Transactions on Audio, Speech, and Language Processing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx5\/10376\/5762410\/05613152.pdf?arnumber=5613152","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,2,27]],"date-time":"2025-02-27T18:25:21Z","timestamp":1740680721000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/5613152\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2011,7]]},"references-count":42,"journal-issue":{"issue":"5"},"URL":"https:\/\/doi.org\/10.1109\/tasl.2010.2090146","relation":{},"ISSN":["1558-7916","1558-7924"],"issn-type":[{"type":"print","value":"1558-7916"},{"type":"electronic","value":"1558-7924"}],"subject":[],"published":{"date-parts":[[2011,7]]}}}