{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,7]],"date-time":"2024-09-07T22:45:23Z","timestamp":1725749123680},"publisher-location":"Berlin, Heidelberg","reference-count":11,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783642406423"},{"type":"electronic","value":"9783642406430"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2013]]},"DOI":"10.1007\/978-3-642-40643-0_15","type":"book-chapter","created":{"date-parts":[[2013,9,18]],"date-time":"2013-09-18T08:50:01Z","timestamp":1379494201000},"page":"139-148","source":"Crossref","is-referenced-by-count":2,"title":["Learning Conditional Linear Gaussian Classifiers with Probabilistic Class Labels"],"prefix":"10.1007","author":[{"given":"Pedro L.","family":"L\u00f3pez-Cruz","sequence":"first","affiliation":[]},{"given":"Concha","family":"Bielza","sequence":"additional","affiliation":[]},{"given":"Pedro","family":"Larra\u00f1aga","sequence":"additional","affiliation":[]}],"member":"297","reference":[{"key":"15_CR1","doi-asserted-by":"publisher","first-page":"334","DOI":"10.1016\/j.patcog.2008.07.014","volume":"42","author":"E. C\u00f4me","year":"2009","unstructured":"C\u00f4me, E., Oukhellou, L., Denoeux, T., Aknin, P.: Learning from partially supervised data using mixture models and belief functions. Pattern Recognit.\u00a042, 334\u2013348 (2009)","journal-title":"Pattern Recognit."},{"key":"15_CR2","doi-asserted-by":"publisher","first-page":"191","DOI":"10.1016\/0004-3702(94)90026-4","volume":"66","author":"P. Smets","year":"1994","unstructured":"Smets, P., Kennes, R.: The transferable belief model. Artif. Intell.\u00a066, 191\u2013243 (1994)","journal-title":"Artif. Intell."},{"key":"15_CR3","unstructured":"Pearl, J.: Probabilistic Reasoning in Intelligent Systems. Morgan Kaufmann (1988)"},{"key":"15_CR4","unstructured":"Friedman, N., Goldszmidt, M., Lee, T.J.: Bayesian network classification with continuous attributes: Getting the best of both discretization and parametric fitting. In: Shavlik, J.W. (ed.) Proceedings of the 15th ICML, pp. 179\u2013187. Morgan Kaufmann (1998)"},{"key":"15_CR5","series-title":"Lecture Notes in Artificial Intelligence","doi-asserted-by":"publisher","first-page":"956","DOI":"10.1007\/11518655_80","volume-title":"Symbolic and Quantitative Approaches to Reasoning with Uncertainty","author":"P. Vannoorenberghe","year":"2005","unstructured":"Vannoorenberghe, P., Smets, P.: Partially supervised learning by a credal EM approach. In: Godo, L. (ed.) ECSQARU 2005. LNCS (LNAI), vol.\u00a03571, pp. 956\u2013967. Springer, Heidelberg (2005)"},{"key":"15_CR6","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1111\/j.2517-6161.1977.tb01600.x","volume":"39","author":"A.P. Dempster","year":"1977","unstructured":"Dempster, A.P., Laird, N.M., Rubin, D.B.: Maximum likelihood from incomplete data via the EM algorithm. J. R. Stat. Soc. Ser. B-Stat. Methodol.\u00a039, 1\u201338 (1977)","journal-title":"J. R. Stat. Soc. Ser. B-Stat. Methodol."},{"key":"15_CR7","doi-asserted-by":"publisher","first-page":"31","DOI":"10.1214\/aos\/1176347003","volume":"17","author":"S.L. Lauritzen","year":"1989","unstructured":"Lauritzen, S.L., Wermuth, N.: Graphical models for associations between variables, some of which are qualitative and some quantitative. Ann. Stat.\u00a017, 31\u201357 (1989)","journal-title":"Ann. Stat."},{"key":"15_CR8","first-page":"8","volume":"49","author":"M. Minsky","year":"1961","unstructured":"Minsky, M.: Steps toward artificial intelligence. Proc. Inst. Radio Eng.\u00a049, 8\u201330 (1961)","journal-title":"Proc. Inst. Radio Eng."},{"key":"15_CR9","doi-asserted-by":"publisher","first-page":"5","DOI":"10.1007\/s10994-005-4258-6","volume":"58","author":"G.I. Webb","year":"2005","unstructured":"Webb, G.I., Boughton, J.R., Wang, Z.: Not so naive Bayes: Aggregating one-dependence estimators. Mach. Learn.\u00a058, 5\u201324 (2005)","journal-title":"Mach. Learn."},{"key":"15_CR10","unstructured":"Friedman, N.: Learning belief networks in the presence of missing values and hidden variables. In: Fisher, D.H. (ed.) 14th ICML, pp. 125\u2013133. Morgan Kaufmann (1997)"},{"key":"15_CR11","first-page":"2677","volume":"9","author":"S. Garc\u00eda","year":"2008","unstructured":"Garc\u00eda, S., Herrera, F.: An extension on \u201cStatistical comparisons of classifiers over multiple data sets\u201d for all pairwise comparisons. J. Mach. Learn. Res.\u00a09, 2677\u20132694 (2008)","journal-title":"J. Mach. Learn. Res."}],"container-title":["Lecture Notes in Computer Science","Advances in Artificial Intelligence"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-642-40643-0_15","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,5,17]],"date-time":"2024-05-17T22:58:42Z","timestamp":1715986722000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-642-40643-0_15"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2013]]},"ISBN":["9783642406423","9783642406430"],"references-count":11,"URL":"https:\/\/doi.org\/10.1007\/978-3-642-40643-0_15","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2013]]}}}