{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,4]],"date-time":"2024-09-04T22:32:19Z","timestamp":1725489139539},"publisher-location":"Berlin, Heidelberg","reference-count":13,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783540001317"},{"type":"electronic","value":"9783540361312"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2002]]},"DOI":"10.1007\/3-540-36131-6_4","type":"book-chapter","created":{"date-parts":[[2007,8,12]],"date-time":"2007-08-12T05:42:30Z","timestamp":1186897350000},"page":"32-41","source":"Crossref","is-referenced-by-count":3,"title":["Incremental Learning of Tree Augmented Naive Bayes Classifiers"],"prefix":"10.1007","author":[{"given":"Josep","family":"Roure Alcob\u00e9","sequence":"first","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2002,11,5]]},"reference":[{"key":"4_CR1","doi-asserted-by":"crossref","unstructured":"W. Buntine. Theory refinement on Bayesian networks. In B.D. D\u2019Ambrosio, P. Smets, and P.P. Bonisone, editors, Proceedings of the Seventh Conference on Uncertainty in Artificial Intelligence, pages 52\u201360, 1991.","DOI":"10.1016\/B978-1-55860-203-8.50010-3"},{"key":"4_CR2","doi-asserted-by":"publisher","first-page":"195","DOI":"10.1109\/69.494161","volume":"8","author":"W. Buntine","year":"1996","unstructured":"W. Buntine. A guide to the literature on learning probabilistic networks from data. IEEE Trans. On Knowledge And Data Engineering, 8:195\u2013210, 1996.","journal-title":"IEEE Trans. On Knowledge And Data Engineering"},{"key":"4_CR3","doi-asserted-by":"crossref","unstructured":"Jie Cheng and Russell Greiner. Learning bayesian belief network classifiers: Algorithms and system. In Proceedings of the Canadian Conference on AI, pages 141\u2013151, 2001.","DOI":"10.1007\/3-540-45153-6_14"},{"key":"4_CR4","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 Transactions on Information Teory, 14:462\u2013467, 1968.","journal-title":"IEEE Transactions on Information Teory"},{"key":"4_CR5","volume-title":"Pattern Classification and Scene Analysis","author":"R. O. Duda","year":"1973","unstructured":"R. O. Duda and P. E. Hart. Pattern Classification and Scene Analysis. JohnWiley & Sons, NewYork, 1973."},{"key":"4_CR6","unstructured":"N. Friedman and M. Goldszmidt. Sequential update of Bayesian network structure. In Proceedings of the Thirteenth Conference on Uncertainty in Artificial Intelligence, 1997."},{"issue":"2-3","key":"4_CR7","doi-asserted-by":"publisher","first-page":"131","DOI":"10.1023\/A:1007465528199","volume":"29","author":"N. Friedman","year":"1997","unstructured":"Nir Friedman, Dan Geiger, and Moises Goldszmidt. Bayesian network classifiers. Machine Learning, 29(2-3):131\u2013163, 1997.","journal-title":"Machine Learning"},{"key":"4_CR8","unstructured":"E. Keogh and M. Pazzani. Learning augmented bayesian classifiers: A comparison of distribution-based and classification-based approaches. In FL Ft. Lauderdale, editor, Proceedings of the seventh International Workshop on Artificial Intelligence and Statistics, pages 225\u2013230, 1999."},{"key":"4_CR9","doi-asserted-by":"crossref","unstructured":"W. Lam and F. Bacchus. Using new data to refine Bayesian networks. In R. L\u00f3pez de Mantaras and D. Poole, editors, Proceedings of the Tenth Conference on Uncertainty in Artificial Intelligence, pages 383\u2013390, 1994.","DOI":"10.1016\/B978-1-55860-332-5.50053-5"},{"key":"4_CR10","unstructured":"P. Langley. Order effects in incremental learning. In P. Reimann and H. Spada, editors, Learning in humans and machines: Towards an Interdisciplinary Learning Science. Pergamon, 1995."},{"key":"4_CR11","doi-asserted-by":"crossref","unstructured":"Pat Langley and Stephanie Sage. Induction of selective bayesian classifiers. In R. L\u00f3pez de Mantaras and D. Poole, editors, Proceedings of the tenth Conference on Uncertainty in Artificial Intelligence (UAI\u201994), pages 399\u2013406. San Francisco, CA: Morgan Kaufmann.","DOI":"10.1016\/B978-1-55860-332-5.50055-9"},{"key":"4_CR12","volume-title":"UCI repository of machine learning databases","author":"P.M. Murphy","year":"1994","unstructured":"P.M. Murphy and D.W. Aha. UCI repository of machine learning databases. http:\/\/www.ics.uci.edu\/ mlearn\/MLRepository.html ., 1994. Irvine, CA: University of California, Department of Information and Computer Science."},{"key":"4_CR13","doi-asserted-by":"publisher","first-page":"579","DOI":"10.1002\/net.3230200507","volume":"20","author":"D. J. Spiegelhalter","year":"1990","unstructured":"D. J. Spiegelhalter and S. L. Lauritzen. Sequential updating of conditional probabilities on directed graphical structures. Networks, 20:579\u2013605, 1990.","journal-title":"Networks"}],"container-title":["Lecture Notes in Computer Science","Advances in Artificial Intelligence \u2014 IBERAMIA 2002"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/3-540-36131-6_4","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,5,13]],"date-time":"2023-05-13T19:23:49Z","timestamp":1684005829000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/3-540-36131-6_4"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2002]]},"ISBN":["9783540001317","9783540361312"],"references-count":13,"URL":"https:\/\/doi.org\/10.1007\/3-540-36131-6_4","relation":{},"ISSN":["0302-9743"],"issn-type":[{"type":"print","value":"0302-9743"}],"subject":[],"published":{"date-parts":[[2002]]}}}