{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,1]],"date-time":"2025-03-01T06:03:33Z","timestamp":1740809013895,"version":"3.38.0"},"publisher-location":"Berlin, Heidelberg","reference-count":11,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783540232063"},{"type":"electronic","value":"9783540301332"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2004]]},"DOI":"10.1007\/978-3-540-30133-2_169","type":"book-chapter","created":{"date-parts":[[2010,12,21]],"date-time":"2010-12-21T06:47:45Z","timestamp":1292914065000},"page":"1268-1275","source":"Crossref","is-referenced-by-count":0,"title":["Robust Bayesian Learning with Domain Heuristics for Missing Data"],"prefix":"10.1007","author":[{"given":"Chian-Huei","family":"Wun","sequence":"first","affiliation":[]},{"given":"Chih-Hung","family":"Wu","sequence":"additional","affiliation":[]}],"member":"297","reference":[{"key":"169_CR1","doi-asserted-by":"crossref","first-page":"159","DOI":"10.1613\/jair.62","volume":"2","author":"W. Buntine","year":"1994","unstructured":"Buntine, W.: Operations for Learning with Graphical Models. Journal of Artificial Intelligence\u00a02, 159\u2013225 (1994)","journal-title":"Journal of Artificial Intelligence"},{"key":"169_CR2","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, D., Rubin, D.: Maximum likelihood from incomplete data via the EM algorithm. Journal of the Royal Statistical Society\u00a039, 1\u201338 (1977)","journal-title":"Journal of the Royal Statistical Society"},{"key":"169_CR3","doi-asserted-by":"publisher","first-page":"127","DOI":"10.1023\/A:1020202028934","volume":"50","author":"P. Giudici","year":"2003","unstructured":"Giudici, P., Castelo, R.: Improving Markov Chain Monte Carlo model search for data mining. Machine Learning\u00a050, 127\u2013158 (2003)","journal-title":"Machine Learning"},{"key":"169_CR4","unstructured":"Intelligent CAM Systems Laboratory, Methodologies for dealing with the Missing Data, http:\/\/www.eng.uc.edu\/icams\/resources\/missing_data.htm"},{"key":"169_CR5","volume-title":"Statistical analysis with missing data","author":"R.J.A. Little","year":"1987","unstructured":"Little, R.J.A., Rubin, D.B.: Statistical analysis with missing data. Wiley, New York (1987)"},{"key":"169_CR6","doi-asserted-by":"publisher","first-page":"779","DOI":"10.2307\/1391093","volume":"9","author":"M. Ramoni","year":"2000","unstructured":"Ramoni, M., Sebastiani, P.: Bayesian Inference with Missing Data Using Bound and Collapse. Journal of Computational and Graphical Statistics\u00a09, 779\u2013800 (2000)","journal-title":"Journal of Computational and Graphical Statistics"},{"key":"169_CR7","unstructured":"Ramoni, M., Sebastiani, P.: Learning Bayesian networks from incomplete database. Knowledge Media Institute Technical Report KMI-TR-43 (1997)"},{"key":"169_CR8","unstructured":"Ramoni, M., Sebastiani, P.: Learning Conditional Probabilities from Incomplete Data: An Experimental Comparison. In: Proceedings of the Seventh International Workshop on Artificial Intelligence and Statistics (AI&Stats 1999), pp. 260\u2013265. Morgan Kaufman, San Mateo (1999)"},{"issue":"1-2","key":"169_CR9","doi-asserted-by":"publisher","first-page":"207","DOI":"10.1016\/S0004-3702(00)00085-0","volume":"125","author":"M. Ramoni","year":"2001","unstructured":"Ramoni, M., Sebastiani, P.: Robust Bayes Classifiers. Artificial Intelligence\u00a0125(1-2), 207\u2013224 (2001)","journal-title":"Artificial Intelligence"},{"key":"169_CR10","doi-asserted-by":"publisher","first-page":"147","DOI":"10.1023\/A:1010968702992","volume":"45","author":"M. Ramoni","year":"2001","unstructured":"Ramoni, M., Sebastiani, P.: Robust Learning with Missing Data. Machine Learning\u00a045, 147\u2013170 (2001)","journal-title":"Machine Learning"},{"key":"169_CR11","first-page":"95","volume":"62","author":"G. Verleye","year":"1999","unstructured":"Verleye, G., Pepermans, R., Despontin, M.: Missing at random data problems and maximum likelihood structural equation modeling. Kwantitatieve Methoden\u00a062, 95\u2013110 (1999)","journal-title":"Kwantitatieve Methoden"}],"container-title":["Lecture Notes in Computer Science","Knowledge-Based Intelligent Information and Engineering Systems"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-540-30133-2_169.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,3,1]],"date-time":"2025-03-01T00:17:42Z","timestamp":1740788262000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-540-30133-2_169"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2004]]},"ISBN":["9783540232063","9783540301332"],"references-count":11,"URL":"https:\/\/doi.org\/10.1007\/978-3-540-30133-2_169","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2004]]}}}