{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,8]],"date-time":"2024-09-08T14:15:26Z","timestamp":1725804926677},"publisher-location":"Cham","reference-count":29,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319114323"},{"type":"electronic","value":"9783319114330"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2014]]},"DOI":"10.1007\/978-3-319-11433-0_38","type":"book-chapter","created":{"date-parts":[[2014,9,10]],"date-time":"2014-09-10T23:30:38Z","timestamp":1410391838000},"page":"581-596","source":"Crossref","is-referenced-by-count":3,"title":["An Extended MPL-C Model for Bayesian Network Parameter Learning with Exterior Constraints"],"prefix":"10.1007","author":[{"given":"Yun","family":"Zhou","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Norman","family":"Fenton","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Martin","family":"Neil","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","reference":[{"key":"38_CR1","doi-asserted-by":"crossref","DOI":"10.1201\/b13102","volume-title":"Risk Assessment and Decision Analysis with Bayesian Networks","author":"N. Fenton","year":"2012","unstructured":"Fenton, N., Neil, M.: Risk Assessment and Decision Analysis with Bayesian Networks. CRC Press, New York (2012)"},{"issue":"3","key":"38_CR2","first-page":"197","volume":"20","author":"D. Heckerman","year":"1995","unstructured":"Heckerman, D., Geiger, D., Chickering, D.M.: Learning Bayesian networks: The combination of knowledge and statistical data. Mach. Learn.\u00a020(3), 197\u2013243 (1995)","journal-title":"Mach. Learn."},{"issue":"1","key":"38_CR3","doi-asserted-by":"publisher","first-page":"87","DOI":"10.1016\/j.neuroimage.2009.01.025","volume":"46","author":"R.A. Hutchinson","year":"2009","unstructured":"Hutchinson, R.A., Niculescu, R.S., Keller, T.A., Rustandi, I., Mitchell, T.M.: Modeling fMRI data generated by overlapping cognitive processes with unknown onsets using hidden process models. NeuroImage\u00a046(1), 87\u2013104 (2009)","journal-title":"NeuroImage"},{"key":"38_CR4","doi-asserted-by":"publisher","first-page":"28","DOI":"10.1016\/j.jbi.2013.10.012","volume":"48","author":"B. Yet","year":"2014","unstructured":"Yet, B., Perkins, Z., Fenton, N., Tai, N., Marsh, W.: Not just data: A method for improving prediction with knowledge. J. Biomed. Inform.\u00a048, 28\u201337 (2014)","journal-title":"J. Biomed. Inform."},{"issue":"3","key":"38_CR5","doi-asserted-by":"publisher","first-page":"335","DOI":"10.1007\/s10994-009-5141-7","volume":"79","author":"T. \u0160ingliar","year":"2010","unstructured":"\u0160ingliar, T., Hauskrecht, M.: Learning to detect incidents from noisily labeled data. Mach. Learn.\u00a079(3), 335\u2013354 (2010)","journal-title":"Mach. Learn."},{"issue":"11","key":"38_CR6","doi-asserted-by":"publisher","first-page":"3046","DOI":"10.1016\/j.patcog.2009.04.006","volume":"42","author":"W. Liao","year":"2009","unstructured":"Liao, W., Ji, Q.: Learning Bayesian network parameters under incomplete data with domain knowledge. Pattern Recogn\u00a042(11), 3046\u20133056 (2009)","journal-title":"Pattern Recogn"},{"issue":"3","key":"38_CR7","doi-asserted-by":"publisher","first-page":"257","DOI":"10.1016\/0004-3702(90)90026-V","volume":"44","author":"M.P. Wellman","year":"1990","unstructured":"Wellman, M.P.: Fundamental concepts of qualitative probabilistic networks. Artif. Intell.\u00a044(3), 257\u2013303 (1990)","journal-title":"Artif. Intell."},{"key":"38_CR8","first-page":"141","volume-title":"Proceedings of the Eleventh Conference on Uncertainty in Artificial Intelligence, Morgan Kaufmann Publishers Inc","author":"M.J. Druzdzel","year":"1995","unstructured":"Druzdzel, M.J., Van Der Gaag, L.C.: Elicitation of probabilities for belief networks: Combining qualitative and quantitative information. In: Proceedings of the Eleventh Conference on Uncertainty in Artificial Intelligence, Morgan Kaufmann Publishers Inc, pp. 141\u2013148. Morgan Kaufmann, San Francisco (1995)"},{"issue":"5","key":"38_CR9","doi-asserted-by":"publisher","first-page":"1382","DOI":"10.1109\/TSMCB.2011.2148197","volume":"41","author":"A. Cano","year":"2011","unstructured":"Cano, A., Masegosa, A.R., Moral, S.: A method for integrating expert knowledge when learning Bayesian networks from data. IEEE Trans. on Sys. Man Cyber. Part B\u00a041(5), 1382\u20131394 (2011)","journal-title":"IEEE Trans. on Sys. Man Cyber. Part B"},{"key":"38_CR10","first-page":"1357","volume":"7","author":"R.S. Niculescu","year":"2006","unstructured":"Niculescu, R.S., Mitchell, T., Rao, B.: Bayesian network learning with parameter constraints. J. Mach. Learn. Res.\u00a07, 1357\u20131383 (2006)","journal-title":"J. Mach. Learn. Res."},{"key":"38_CR11","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"580","DOI":"10.1007\/978-3-642-40991-2_37","volume-title":"Machine Learning and Knowledge Discovery in Databases","author":"S. Yang","year":"2013","unstructured":"Yang, S., Natarajan, S.: Knowledge intensive learning: Combining qualitative constraints with causal independence for parameter learning in probabilistic models. In: Blockeel, H., Kersting, K., Nijssen, S., \u017delezn\u00fd, F. (eds.) ECML PKDD 2013, Part II. LNCS, vol.\u00a08189, pp. 580\u2013595. Springer, Heidelberg (2013)"},{"issue":"5","key":"38_CR12","doi-asserted-by":"publisher","first-page":"1252","DOI":"10.1016\/j.ijar.2014.02.008","volume":"55","author":"Y. Zhou","year":"2014","unstructured":"Zhou, Y., Fenton, N., Neil, M.: Bayesian network approach to multinomial parameter learning using data and expert judgments. Int. J. Approx. Reasoning\u00a055(5), 1252\u20131268 (2014)","journal-title":"Int. J. Approx. Reasoning"},{"key":"38_CR13","unstructured":"Altendorf, E.E.: Learning from sparse data by exploiting monotonicity constraints. In: Proceedings of the 21st Conference on Uncertainty in Artificial Intelligence, pp. 18\u201326. Morgan Kaufmann Publishers Inc., San Francisco (2005)"},{"key":"38_CR14","unstructured":"van der Gaag, L.C., Renooij, S., Geenen, P.L.: Lattices for studying monotonicity of Bayesian networks. In: Proceedings of the 3rd European Workshop on Probabilistic Graphical Models, Prague, Czech Republic, pp. 99\u2013106 (2006)"},{"issue":"3","key":"38_CR15","doi-asserted-by":"publisher","first-page":"429","DOI":"10.1016\/j.ijar.2008.04.008","volume":"50","author":"L.C. Gaag van der","year":"2009","unstructured":"van der Gaag, L.C., Tabachneck-Schijf, H.J.M., Geenen, P.L.: Verifying monotonicity of bayesian networks with domain experts. Int. J. Approx. Reasoning\u00a050(3), 429\u2013436 (2009)","journal-title":"Int. J. Approx. Reasoning"},{"issue":"3","key":"38_CR16","doi-asserted-by":"publisher","first-page":"219","DOI":"10.1007\/s11222-007-9018-y","volume":"17","author":"M. Neil","year":"2007","unstructured":"Neil, M., Tailor, M., Marquez, D.: Inference in hybrid Bayesian networks using dynamic discretization. Stat. and Comput.\u00a017(3), 219\u2013233 (2007)","journal-title":"Stat. and Comput."},{"issue":"4","key":"38_CR17","doi-asserted-by":"publisher","first-page":"325","DOI":"10.1023\/A:1008929526011","volume":"10","author":"D.J. Lunn","year":"2000","unstructured":"Lunn, D.J., Thomas, A., Best, N., Spiegelhalter, D.: WinBUGS-a Bayesian modelling framework: concepts, structure, and extensibility. Stat. and Comput.\u00a010(4), 325\u2013337 (2000)","journal-title":"Stat. and Comput."},{"issue":"5","key":"38_CR18","doi-asserted-by":"publisher","first-page":"641","DOI":"10.1016\/j.ijar.2010.09.003","volume":"52","author":"P.P. Shenoy","year":"2011","unstructured":"Shenoy, P.P., West, J.C.: Inference in hybrid Bayesian networks using mixtures of polynomials. Int. J. Approx. Reasoning\u00a052(5), 641\u2013657 (2011)","journal-title":"Int. J. Approx. Reasoning"},{"issue":"5","key":"38_CR19","doi-asserted-by":"publisher","first-page":"847","DOI":"10.1016\/j.ijar.2012.01.008","volume":"53","author":"P.P. Shenoy","year":"2012","unstructured":"Shenoy, P.P.: Two issues in using mixtures of polynomials for inference in hybrid Bayesian networks. Int. J. Approx. Reasoning\u00a053(5), 847\u2013866 (2012)","journal-title":"Int. J. Approx. Reasoning"},{"issue":"1","key":"38_CR20","doi-asserted-by":"publisher","first-page":"37","DOI":"10.1016\/j.ijar.2005.10.003","volume":"42","author":"A. Feelders","year":"2006","unstructured":"Feelders, A., van der Gaag, L.: Learning Bayesian network parameters under order constraints. Int. J. Approx. Reasoning\u00a042(1), 37\u201353 (2006)","journal-title":"Int. J. Approx. Reasoning"},{"issue":"12","key":"38_CR21","doi-asserted-by":"publisher","first-page":"1708","DOI":"10.1109\/TKDE.2007.190659","volume":"19","author":"Y. Xiang","year":"2007","unstructured":"Xiang, Y., Jia, N.: Modeling causal reinforcement and undermining for efficient CPT elicitation. IEEE Trans. on Knowl. and Data Eng.\u00a019(12), 1708\u20131718 (2007)","journal-title":"IEEE Trans. on Knowl. and Data Eng."},{"key":"38_CR22","doi-asserted-by":"crossref","unstructured":"Xiang, Y., Truong, M.: Acquisition of causal models for local distributions in Bayesian networks. IEEE Trans. on Cyber (2013), doi:10.1109\/TCYB.2013.2290775","DOI":"10.1109\/TCYB.2013.2290775"},{"issue":"7","key":"38_CR23","doi-asserted-by":"publisher","first-page":"1306","DOI":"10.1109\/TKDE.2011.87","volume":"24","author":"M. Neil","year":"2012","unstructured":"Neil, M., Chen, X., Fenton, N.: Optimizing the calculation of conditional probability tables in hybrid Bayesian networks using binary factorization. IEEE Trans. on Knowl. and Data Eng.\u00a024(7), 1306\u20131312 (2012)","journal-title":"IEEE Trans. on Knowl. and Data Eng."},{"key":"38_CR24","unstructured":"AgenaRisk (2014), \n                  \n                    http:\/\/www.agenarisk.com\/"},{"key":"38_CR25","unstructured":"Cover, T.M., Thomas, J.: Entropy, relative entropy and mutual information. Elements of Information Theory, 12\u201349 (1991)"},{"key":"38_CR26","doi-asserted-by":"crossref","unstructured":"Lauritzen, S., Spiegelhalter, D.: Local computations with probabilities on graphical structures and their application to expert systems. J. Roy. Statist. Soc. Ser. B, 157\u2013224 (1988)","DOI":"10.1111\/j.2517-6161.1988.tb01721.x"},{"issue":"2-3","key":"38_CR27","doi-asserted-by":"publisher","first-page":"131","DOI":"10.1023\/A:1007465528199","volume":"29","author":"N. Friedman","year":"1997","unstructured":"Friedman, N., Geiger, D., Goldszmidt, M.: Bayesian network classifiers. Mach. Learn.\u00a029(2-3), 131\u2013163 (1997)","journal-title":"Mach. Learn."},{"key":"38_CR28","doi-asserted-by":"publisher","DOI":"10.1201\/9780203491294","volume-title":"Bayesian Artificial Intelligence","author":"K.B. Korb","year":"2003","unstructured":"Korb, K.B., Nicholson, A.E.: Bayesian Artificial Intelligence. CRC Press, New York (2003)"},{"issue":"5","key":"38_CR29","doi-asserted-by":"publisher","first-page":"499","DOI":"10.1007\/s10664-008-9072-x","volume":"13","author":"N. Fenton","year":"2008","unstructured":"Fenton, N., Neil, M., Marsh, W., Hearty, P., Radli\u0144ski, \u0141., Krause, P.: On the effectiveness of early life cycle defect prediction with Bayesian nets. Empirical Softw. Engg.\u00a013(5), 499\u2013537 (2008)","journal-title":"Empirical Softw. Engg."}],"container-title":["Lecture Notes in Computer Science","Probabilistic Graphical Models"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-11433-0_38","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,5,27]],"date-time":"2019-05-27T17:23:55Z","timestamp":1558977835000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-11433-0_38"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2014]]},"ISBN":["9783319114323","9783319114330"],"references-count":29,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-11433-0_38","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2014]]}}}