{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,5]],"date-time":"2024-09-05T21:05:35Z","timestamp":1725570335361},"publisher-location":"Berlin, Heidelberg","reference-count":13,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783540404088"},{"type":"electronic","value":"9783540449898"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2003]]},"DOI":"10.1007\/3-540-44989-2_15","type":"book-chapter","created":{"date-parts":[[2010,11,19]],"date-time":"2010-11-19T17:10:02Z","timestamp":1290186602000},"page":"115-122","source":"Crossref","is-referenced-by-count":3,"title":["Finite Mixture Model of Bounded Semi-naive Bayesian Networks Classifier"],"prefix":"10.1007","author":[{"given":"Kaizhu","family":"Huang","sequence":"first","affiliation":[]},{"given":"Irwin","family":"King","sequence":"additional","affiliation":[]},{"given":"Michael R.","family":"Lyu","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2003,6,18]]},"reference":[{"key":"15_CR1","doi-asserted-by":"crossref","unstructured":"D. M. Chickering. Learning bayesian networks is NP-complete. In D. Fisher and H.-J. Lenz, editors, Learning from Data. Springer-Verlag, 1995.","DOI":"10.1007\/978-1-4612-2404-4_12"},{"key":"15_CR2","doi-asserted-by":"publisher","first-page":"462","DOI":"10.1109\/TIT.1968.1054142","volume":"14","author":"C. K. Chow","year":"1968","unstructured":"C. K. Chow and C. N. Liu. Approximating discrete probability distributions with dependence trees. IEEE Trans. on Information Theory, 14:462\u2013467, 1968.","journal-title":"IEEE Trans. on Information Theory"},{"key":"15_CR3","doi-asserted-by":"publisher","first-page":"103","DOI":"10.1023\/A:1007413511361","volume":"29","author":"P. Domingos","year":"1997","unstructured":"Pedro Domingos and Pazzani Michael. On the optimality of the simple baysian classifier under zero-one loss. Machine Learning, 29:103\u2013130, 1997.","journal-title":"Machine Learning"},{"key":"15_CR4","doi-asserted-by":"publisher","first-page":"131","DOI":"10.1023\/A:1007465528199","volume":"29","author":"N. Friedman","year":"1997","unstructured":"N. Friedman, D. Geiger, and M. Goldszmidt. Bayesian network classifiers. Machine Learning, 29:131\u2013161, 1997.","journal-title":"Machine Learning"},{"key":"15_CR5","first-page":"338","volume-title":"Proceedings of the 14th IJCAI","author":"R. Kohavi","year":"1995","unstructured":"R. Kohavi. A study of cross validation and bootstrap for accuracy estimation and model selection. In Proceedings of the 14th IJCAI, pages 338\u2013345. San Francisco, CA: Morgan Kaufmann, 1995."},{"key":"15_CR6","doi-asserted-by":"crossref","unstructured":"I. Kononenko. Semi-naive bayesian classifier. In Proceedings of sixth European Working Session on Learning, pages 206\u2013219. Springer-Verlag, 1991.","DOI":"10.1007\/BFb0017015"},{"key":"15_CR7","first-page":"1","volume":"B39","author":"N. M. Laird","year":"1977","unstructured":"N. M. Laird, A. P. Dempster, and D.B. Rubin. Maximum likelihood from incomplete data via the EM algorithm. J. Royal Statist. Society, B39:1\u201338, 1977.","journal-title":"J. Royal Statist. Society"},{"key":"15_CR8","unstructured":"P. Langley, W. Iba, and K. Thompson. An analysis of bayesian classifiers. In Proceedings of AAAI-92, pages 223\u2013228, 1992."},{"key":"15_CR9","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1162\/153244301753344605","volume":"1","author":"M. Meila","year":"2000","unstructured":"M. Meila and M. Jordan. Learning with mixtures of trees. Journal of Machine Learning Research, 1:1\u201348, 2000.","journal-title":"Journal of Machine Learning Research"},{"key":"15_CR10","unstructured":"Patrick M. Murphy. UCI repository of machine learning databases. In School of Information and Computer Science, University of California, Irvine, 2003."},{"key":"15_CR11","doi-asserted-by":"crossref","first-page":"239","DOI":"10.1007\/978-1-4612-2404-4_23","volume-title":"Learning from data: Artificial intelligence and statistics V","author":"M. J. Pazzani","year":"1996","unstructured":"M. J. Pazzani. Searching dependency in bayesian classifiers. In D. Fisher and H.-J. Lenz, editors, Learning from data: Artificial intelligence and statistics V, pages 239\u2013248. New York, NY: Springer-Verlag, 1996."},{"key":"15_CR12","volume-title":"Probabilistic Reasoning in Intelligent Systems: networks of plausible inference","author":"J. Pearl","year":"1988","unstructured":"J. Pearl. Probabilistic Reasoning in Intelligent Systems: networks of plausible inference. Morgan Kaufmann, CA, 1988."},{"key":"15_CR13","volume-title":"C4.5: programs for machine learning","author":"J. R. Quinlan","year":"1993","unstructured":"J. R. Quinlan. C4.5: programs for machine learning. San Mateo, California: Morgan Kaufmann Publishers, 1993."}],"container-title":["Lecture Notes in Computer Science","Artificial Neural Networks and Neural Information Processing \u2014 ICANN\/ICONIP 2003"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/3-540-44989-2_15","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,6,6]],"date-time":"2019-06-06T07:42:59Z","timestamp":1559806979000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/3-540-44989-2_15"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2003]]},"ISBN":["9783540404088","9783540449898"],"references-count":13,"URL":"https:\/\/doi.org\/10.1007\/3-540-44989-2_15","relation":{},"ISSN":["0302-9743"],"issn-type":[{"type":"print","value":"0302-9743"}],"subject":[],"published":{"date-parts":[[2003]]}}}