{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,23]],"date-time":"2024-10-23T05:35:05Z","timestamp":1729661705838,"version":"3.28.0"},"reference-count":40,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2016,12]]},"DOI":"10.1109\/icpr.2016.7900024","type":"proceedings-article","created":{"date-parts":[[2017,4,24]],"date-time":"2017-04-24T17:12:47Z","timestamp":1493053967000},"page":"2580-2585","source":"Crossref","is-referenced-by-count":0,"title":["Bayesian regression selecting valuable subset from mixed bag training data"],"prefix":"10.1109","author":[{"given":"Takayuki","family":"Katsuki","sequence":"first","affiliation":[]},{"given":"Masato","family":"Inoue","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1145\/1273496.1273624"},{"key":"ref38","first-page":"943","article-title":"A bayesian framework for reinforcement learning","author":"strens","year":"2000","journal-title":"ICML"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1023\/A:1012771025575"},{"key":"ref32","article-title":"Gaussian processes for regression","author":"williams","year":"1996","journal-title":"Advances in neural information processing systems"},{"key":"ref31","volume":"118","author":"neal","year":"2012","journal-title":"Bayesian learning for neural networks"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2011.2171691"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.2307\/2332286"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR.2014.356"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1214\/ss\/1177009939"},{"key":"ref34","first-page":"2951","article-title":"Practical bayesian optimization of machine learning algorithms","author":"snoek","year":"2012","journal-title":"Advances in neural information processing systems"},{"key":"ref10","first-page":"1297","article-title":"Learning from crowds","volume":"11","author":"raykar","year":"2010","journal-title":"The Journal of Machine Learning Research"},{"key":"ref40","first-page":"19","article-title":"A bayesian sampling approach to exploration in reinforcement learning","author":"asmuth","year":"2009","journal-title":"Proceedings of the Twenty-Fifth Conference on Uncertainty in Artificial Intelligence"},{"key":"ref11","first-page":"21","article-title":"Inferring parameters and structure of latent variable models by variational Bayes","author":"attias","year":"1999","journal-title":"Proc of the Fifteenth Conference on Uncertainty in Artificial Intelligence"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1214\/aoms\/1177729694"},{"key":"ref13","first-page":"777","article-title":"VIBES: A variational inference engine for Bayesian networks","author":"bishop","year":"2003","journal-title":"Advances in Neural Information Processing Systems 15"},{"key":"ref14","first-page":"1053","article-title":"Bayesian non-linear modelling for the prediction competition","volume":"100","author":"mackay","year":"1994","journal-title":"ASHRAE Transactions"},{"key":"ref15","doi-asserted-by":"crossref","DOI":"10.1007\/978-1-4612-0745-0","author":"neal","year":"1996","journal-title":"Bayesian learning for neural networks"},{"key":"ref16","first-page":"211","article-title":"Sparse bayesian learning and the relevance vector machine","volume":"1","author":"tipping","year":"2001","journal-title":"The Journal of Machine Learning Research"},{"key":"ref17","first-page":"46","article-title":"Variational relevance vector machines","author":"bishop","year":"2000","journal-title":"Proceedings of the Sixteenth Conference on Uncertainty in Artificial Intelligence"},{"article-title":"UCI machine learning repository","year":"2013","author":"lichman","key":"ref18"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.2307\/2290063"},{"key":"ref28","first-page":"425","article-title":"Multiple instance regression","author":"ray","year":"2001","journal-title":"Proceedings of the 18th International Conference on Machine Learning"},{"key":"ref4","doi-asserted-by":"crossref","first-page":"358","DOI":"10.1111\/j.2517-6161.1979.tb01090.x","article-title":"On outlier rejection phenomena in bayes inference","author":"o'hagan","year":"1979","journal-title":"Journal of the Royal Statistical Society Series B (Methodological)"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1016\/S0004-3702(96)00034-3"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1145\/2611567"},{"journal-title":"Introduction to Robust Estimation and Hypothesis Testing","year":"2012","author":"wilcox","key":"ref6"},{"key":"ref29","first-page":"651","article-title":"Multiple-instance learning of real-valued data","volume":"3","author":"dooly","year":"2002","journal-title":"Journal of Machine Learning Research"},{"key":"ref5","doi-asserted-by":"crossref","first-page":"431","DOI":"10.1111\/j.2517-6161.1984.tb01317.x","article-title":"Outlier models and prior distributions in bayesian linear regression","author":"west","year":"1984","journal-title":"Journal of the Royal Statistical Society Series B (Methodological)"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1145\/1401890.1401965"},{"key":"ref7","first-page":"557","article-title":"Artifact correction with robust statistics for non-stationary intracranial pressure signal monitoring","author":"feng","year":"2012","journal-title":"Proceedings of the International Conference on Pattern Recognition (ICPR)"},{"key":"ref2","volume":"1","author":"bishop","year":"2006","journal-title":"Pattern Recognition and Machine Learning"},{"key":"ref9","first-page":"2035","article-title":"Whose vote should count more: Optimal integration of labels from labelers of unknown expertise","author":"whitehill","year":"2009","journal-title":"Advances in neural information processing systems"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/34.824819"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1002\/jae.3950080504"},{"key":"ref22","volume":"382","author":"mclachlan","year":"2007","journal-title":"The EM Algorithm and Extensions"},{"key":"ref21","first-page":"19","article-title":"MI estimation of the t distribution using em and its extensions, ecm and ecme","author":"liu","year":"1995","journal-title":"Statistica Sinica"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1023\/A:1010933404324"},{"key":"ref23","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","author":"tibshirani","year":"1996","journal-title":"Journal of the Royal Statistical Society Series B (Methodological)"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.2307\/1402501"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.enbuild.2014.04.034"}],"event":{"name":"2016 23rd International Conference on Pattern Recognition (ICPR)","start":{"date-parts":[[2016,12,4]]},"location":"Cancun","end":{"date-parts":[[2016,12,8]]}},"container-title":["2016 23rd International Conference on Pattern Recognition (ICPR)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/7893644\/7899596\/07900024.pdf?arnumber=7900024","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,9,21]],"date-time":"2019-09-21T15:54:12Z","timestamp":1569081252000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/7900024\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016,12]]},"references-count":40,"URL":"https:\/\/doi.org\/10.1109\/icpr.2016.7900024","relation":{},"subject":[],"published":{"date-parts":[[2016,12]]}}}