{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,25]],"date-time":"2025-03-25T14:44:13Z","timestamp":1742913853529,"version":"3.40.3"},"publisher-location":"Berlin, Heidelberg","reference-count":18,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783540675570"},{"type":"electronic","value":"9783540454861"}],"license":[{"start":{"date-parts":[[2000,1,1]],"date-time":"2000-01-01T00:00:00Z","timestamp":946684800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2000]]},"DOI":"10.1007\/3-540-45486-1_19","type":"book-chapter","created":{"date-parts":[[2007,8,1]],"date-time":"2007-08-01T01:56:59Z","timestamp":1185933419000},"page":"227-239","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Learning Pseudo-independent Models: Analytical and Experimental Results"],"prefix":"10.1007","author":[{"given":"Yang","family":"Xiang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiaohua","family":"Hu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nicholas J.","family":"Cercone","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Howard J.","family":"Hamilton","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2000,5,19]]},"reference":[{"key":"19_CR1","doi-asserted-by":"crossref","unstructured":"R.R. Bouckaert. Properties of Bayesian belief network learning algorithms. In R. Lopez de Mantaras and D. Poole, editors, Proc. 10th Conf. on Uncertainty in Artificial Intelligence, pages 102\u2013109, Seattle, Washington, 1994. Morgan Kaufmann.","DOI":"10.1016\/B978-1-55860-332-5.50018-3"},{"key":"19_CR2","unstructured":"Statistics Canada. The 1993 genaral social survey-cycle 8: Personal risk, 1994."},{"key":"19_CR3","unstructured":"D. Chickering, D. Geiger, and D. Heckerman. Learning Bayesian networks: serach methods and experimental results. In Proc. of 5th Conf. on Artificial Intelligence and Statistics, pages 112\u2013128, Ft. Lauderdale, 1995. Society for AI and Statistics."},{"key":"19_CR4","first-page":"309","volume":"9","author":"G.F. Cooper","year":"1992","unstructured":"G.F. Cooper and E. Herskovits. A Bayesian method for the induction of probabilistic networks from data. Machine Learning, (9):309\u2013347, 1992.","journal-title":"Machine Learning"},{"key":"19_CR5","unstructured":"N. Friedman, K. Murphy, and S. Russell. Learning the structure of dynamic probabilistic networks. In G.F. Cooper and S. Moral, editors, Proc. 14th Conf. on Uncertainty in Artificial Intelligence, pages 139\u2013147, Madison, Wisconsin, 1998. Morgan Kaufmann."},{"key":"19_CR6","first-page":"197","volume":"20","author":"D. Heckerman","year":"1995","unstructured":"D. Heckerman, D. Geiger, and D.M. Chickering. Learning Bayesian networks: the combination of knowledge and statistical data. Machine Learning, 20:197\u2013243, 1995.","journal-title":"Machine Learning"},{"key":"19_CR7","unstructured":"E.H. Herskovits and G.F. Cooper. Kutato: an entropy-driven system for construction of probabilistic expert systems from database. In Proc. 6th Conf. on Uncertainty in Artificial Intelligence, pages 54\u201362, Cambridge, 1990."},{"key":"19_CR8","unstructured":"J. Hu and Y. Xiang. Learning belief networks in domains with recursively embedded pseudo independent submodels. In Proc. 13th Conf. on Uncertainty in Artificial Intelligence, pages 258\u2013265, Providence, 1997."},{"key":"19_CR9","first-page":"269","volume":"4","author":"F.V. Jensen","year":"1990","unstructured":"F.V. Jensen, S.L. Lauritzen, and K.G. Olesen. Bayesian updating in causal probabilistic networks by local computations. Computational Statistics Quarterly, (4):269\u2013282, 1990.","journal-title":"Computational Statistics Quarterly"},{"issue":"3","key":"19_CR10","doi-asserted-by":"publisher","first-page":"269","DOI":"10.1111\/j.1467-8640.1994.tb00166.x","volume":"10","author":"W. Lam","year":"1994","unstructured":"W. Lam and F. Bacchus. Learning Bayesian networks: an approach based on the MDL principle. Computational Intelligence, 10(3):269\u2013293, 1994.","journal-title":"Computational Intelligence"},{"key":"19_CR11","doi-asserted-by":"crossref","first-page":"157","DOI":"10.1111\/j.2517-6161.1988.tb01721.x","volume":"50","author":"S.L. Lauritzen","year":"1988","unstructured":"S.L. Lauritzen and D.J. Spiegelhalter. Local computation with probabilities on graphical structures and their application to expert systems. J. Royal Statistical Society, Series B, (50):157\u2013244, 1988.","journal-title":"J. Royal Statistical Society, Series B"},{"key":"19_CR12","doi-asserted-by":"crossref","unstructured":"J. Pearl. Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference. Morgan Kaufmann, 1988.","DOI":"10.1016\/B978-0-08-051489-5.50008-4"},{"key":"19_CR13","doi-asserted-by":"crossref","DOI":"10.1137\/1.9781611970043","volume-title":"Probabilistic Expert Systems","author":"G. Shafer","year":"1996","unstructured":"G. Shafer. Probabilistic Expert Systems. Society for Industrial and Applied Mathematics, Philadelphia, 1996."},{"key":"19_CR14","unstructured":"S.K.M. Wong and Y. Xiang. Construction of a Markov network from data for probabilistic inference. In Proc. 3rd Inter. Workshop on Rough Sets and Soft Computing, pages 562\u2013569, San Jose, 1994."},{"key":"19_CR15","unstructured":"Y. Xiang. A characterization of single-link search in learning belief networks. In P. Compton H. MOtoda, R. Mizoguchi and H. Liu, editors, Proc. Pacific Rim Knowledge Acquisition Workshop, pages 218\u201333, 1998."},{"key":"19_CR16","unstructured":"Y. Xiang. Towards understanding of pseudo-independent domains. In Poster Proc. 10th Inter. Symposium on Methodologies for Intelligent Systems, Oct 1997."},{"key":"19_CR17","unstructured":"Y. Xiang, S.K.M. Wong, and N. Cercone. Critical remarks on single link search in learning belief networks. In Proc. 12th Conf. on Uncertainty in Artificial Intelligence, pages 564\u2013571, Portland, 1996."},{"issue":"1","key":"19_CR18","doi-asserted-by":"publisher","first-page":"65","DOI":"10.1023\/A:1007324100110","volume":"26","author":"Y. Xiang","year":"1997","unstructured":"Y. Xiang, S.K.M. Wong, and N. Cercone. A \u2018microscopic\u2019 study of minimum entropy search in learning decomposable Markov networks. Machine Learning, 26(1):65\u201392, 1997.","journal-title":"Machine Learning"}],"container-title":["Lecture Notes in Computer Science","Advances in Artificial Intelligence"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/3-540-45486-1_19","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,1,20]],"date-time":"2025-01-20T01:34:12Z","timestamp":1737336852000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/3-540-45486-1_19"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2000]]},"ISBN":["9783540675570","9783540454861"],"references-count":18,"URL":"https:\/\/doi.org\/10.1007\/3-540-45486-1_19","relation":{},"ISSN":["0302-9743"],"issn-type":[{"type":"print","value":"0302-9743"}],"subject":[],"published":{"date-parts":[[2000]]},"assertion":[{"value":"19 May 2000","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}}]}}