{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,13]],"date-time":"2025-10-13T19:50:13Z","timestamp":1760385013066,"version":"3.37.1"},"reference-count":38,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"5","license":[{"start":{"date-parts":[[2010,10,1]],"date-time":"2010-10-01T00:00:00Z","timestamp":1285891200000},"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. Syst., Man, Cybern. B"],"published-print":{"date-parts":[[2010,10]]},"DOI":"10.1109\/tsmcb.2009.2036593","type":"journal-article","created":{"date-parts":[[2010,1,20]],"date-time":"2010-01-20T20:03:03Z","timestamp":1264017783000},"page":"1231-1242","source":"Crossref","is-referenced-by-count":13,"title":["Learning an L1-Regularized Gaussian Bayesian Network in the Equivalence Class Space"],"prefix":"10.1109","volume":"40","author":[{"given":"Diego","family":"Vidaurre","sequence":"first","affiliation":[]},{"given":"Concha","family":"Bielza","sequence":"additional","affiliation":[]},{"given":"Pedro","family":"Larra\u00f1aga","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"doi-asserted-by":"publisher","key":"ref38","DOI":"10.1007\/s10994-006-6889-7"},{"key":"ref33","doi-asserted-by":"crossref","first-page":"799","DOI":"10.1126\/science.1094068","article-title":"inferring cellular networks using probabilistic graphical models","volume":"303","author":"friedman","year":"2004","journal-title":"Science"},{"key":"ref32","doi-asserted-by":"crossref","first-page":"213","DOI":"10.1023\/A:1007421730016","article-title":"adaptive probabilistic networks with hidden variables","volume":"29","author":"binder","year":"1997","journal-title":"Mach Learn"},{"doi-asserted-by":"publisher","key":"ref31","DOI":"10.1097\/00000542-198909001-00337"},{"key":"ref30","doi-asserted-by":"crossref","first-page":"1356","DOI":"10.1214\/aos\/1015957397","article-title":"asymptotics for lasso-type estimators","volume":"28","author":"knight","year":"2000","journal-title":"Ann Statist"},{"doi-asserted-by":"publisher","key":"ref37","DOI":"10.1093\/biostatistics\/kxj008"},{"doi-asserted-by":"publisher","key":"ref36","DOI":"10.1186\/gb-2004-5-11-r92"},{"doi-asserted-by":"publisher","key":"ref35","DOI":"10.1142\/S021972000400048X"},{"key":"ref34","first-page":"63","article-title":"interative analysis of gene interactions using graphical gaussian models","author":"wu","year":"2003","journal-title":"Proc 3rd ACM SIGKDD Workshop Data Mining Bioinformatics BIOKDD"},{"doi-asserted-by":"publisher","key":"ref10","DOI":"10.1016\/j.jspi.2004.10.007"},{"year":"1997","author":"meek","journal-title":"Graphical models Selecting causal and statistical models","key":"ref11"},{"key":"ref12","first-page":"94","article-title":"finding optimal bayesian networks","volume":"3","author":"chickering","year":"2002","journal-title":"Proc 18th Conf Uncertainty Artif Intell"},{"key":"ref13","first-page":"435","article-title":"on local optima in learning bayesian networks","author":"nielsen","year":"2003","journal-title":"Proc 19th Conf Uncertainty Artif Intell"},{"key":"ref14","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":"1996","journal-title":"J R Stat Soc B"},{"key":"ref15","first-page":"801","article-title":"using modified lasso regression to learn large undirected graphs in a probabilistic framework","author":"li","year":"2005","journal-title":"Proc AAAI"},{"doi-asserted-by":"publisher","key":"ref16","DOI":"10.1214\/009053606000000281"},{"key":"ref17","first-page":"485","article-title":"model selection through sparse maximum likelihood estimation for multivariate gaussian or binary data","volume":"9","author":"banerjee","year":"2008","journal-title":"J Mach Learn Res"},{"doi-asserted-by":"publisher","key":"ref18","DOI":"10.1093\/biostatistics\/kxm045"},{"key":"ref19","first-page":"2541","article-title":"on model selection consistency of lasso","volume":"7","author":"zhao","year":"2006","journal-title":"J Mach Learn Res"},{"key":"ref28","first-page":"61","article-title":"Consistent neighbourhood selection for sparse high-dimensional graphs with the Lasso","volume":"2","author":"meinshausen","year":"2004","journal-title":"Statist Surv"},{"key":"ref4","first-page":"825","article-title":"distribution-free learning of bayesian network structure in continuous domains","author":"margaritis","year":"2005","journal-title":"Proc Nat Conf Artif Intell"},{"doi-asserted-by":"publisher","key":"ref27","DOI":"10.1214\/009053604000000067"},{"doi-asserted-by":"publisher","key":"ref3","DOI":"10.1007\/978-94-011-5014-9_21"},{"year":"2002","author":"davies","journal-title":"Fast factored density estimation and compression with Bayesian networks","key":"ref6"},{"key":"ref29","first-page":"206","article-title":"learning bayesian network structure from massive datasets: the sparse candidate algorithm","author":"friedman","year":"1999","journal-title":"Proc Int Conf Artif Intell"},{"year":"2003","author":"bach","journal-title":"Advances in Neural Information Processing Systems 15","key":"ref5"},{"doi-asserted-by":"publisher","key":"ref8","DOI":"10.1162\/153244303321897717"},{"key":"ref7","first-page":"261","article-title":"On characterizing inclusion of Bayesian networks","author":"kocka","year":"2001","journal-title":"Proc 17th Conf Uncertainty Artif Intell"},{"key":"ref2","doi-asserted-by":"crossref","DOI":"10.1007\/978-1-4612-2270-5","author":"castillo","year":"1997","journal-title":"Expert Systems and Probabilistic Network Models"},{"key":"ref9","first-page":"171","article-title":"enumerating markov equivalence classes of acyclic digraph models","author":"gillispie","year":"2001","journal-title":"Proc 17th Conf Uncertainty Artif Intell"},{"doi-asserted-by":"publisher","key":"ref1","DOI":"10.1016\/B978-1-55860-332-5.50035-3"},{"key":"ref20","first-page":"1278","article-title":"learning graphical model structure using l1-regularization paths","author":"schmidt","year":"2007","journal-title":"Proc AAAI"},{"doi-asserted-by":"publisher","key":"ref22","DOI":"10.1162\/153244302760200696"},{"key":"ref21","first-page":"1287","article-title":"equivalence and synthesis of causal models","author":"verma","year":"1990","journal-title":"Proc 6th Conf Uncertainty Artif Intell"},{"doi-asserted-by":"publisher","key":"ref24","DOI":"10.1007\/978-3-540-68996-6_9"},{"doi-asserted-by":"publisher","key":"ref23","DOI":"10.1162\/153244304773936045"},{"doi-asserted-by":"publisher","key":"ref26","DOI":"10.1214\/08-SS035"},{"key":"ref25","first-page":"595","article-title":"Statistical challenges with high dimensionality: Feature selection in knowledge discovery","volume":"3","author":"fan","year":"2006","journal-title":"Proc Int Congr Mathematicians Madrid"}],"container-title":["IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx5\/3477\/5571766\/05382574.pdf?arnumber=5382574","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,2,16]],"date-time":"2025-02-16T22:09:48Z","timestamp":1739743788000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/5382574\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2010,10]]},"references-count":38,"journal-issue":{"issue":"5"},"URL":"https:\/\/doi.org\/10.1109\/tsmcb.2009.2036593","relation":{},"ISSN":["1083-4419","1941-0492"],"issn-type":[{"type":"print","value":"1083-4419"},{"type":"electronic","value":"1941-0492"}],"subject":[],"published":{"date-parts":[[2010,10]]}}}