{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T05:03:28Z","timestamp":1743051808012,"version":"3.40.3"},"publisher-location":"Berlin, Heidelberg","reference-count":20,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783642137686"},{"type":"electronic","value":"9783642137693"}],"license":[{"start":{"date-parts":[[2010,1,1]],"date-time":"2010-01-01T00:00:00Z","timestamp":1262304000000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2010]]},"DOI":"10.1007\/978-3-642-13769-3_15","type":"book-chapter","created":{"date-parts":[[2010,6,11]],"date-time":"2010-06-11T11:07:55Z","timestamp":1276254475000},"page":"120-127","source":"Crossref","is-referenced-by-count":4,"title":["A Dynamic Bayesian Network Based Structural Learning towards Automated Handwritten Digit Recognition"],"prefix":"10.1007","author":[{"given":"Olivier","family":"Pauplin","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jianmin","family":"Jiang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","reference":[{"key":"15_CR1","doi-asserted-by":"crossref","unstructured":"Kelly, D.L., Smith, C.L.: Bayesian inference in probabilistic risk assessment\u2013The current state of the art. Reliability Engineering & System Safety\u00a094 (2008)","DOI":"10.1016\/j.ress.2008.07.002"},{"key":"15_CR2","doi-asserted-by":"crossref","unstructured":"de Campos, L.M., Castellano, J.G.: Bayesian network learning algorithms using structural restrictions. International Journal of Approximate Reasoning\u00a045 (2006)","DOI":"10.1016\/j.ijar.2006.06.009"},{"key":"15_CR3","volume-title":"Artificial Intelligence, A Modern Approach","author":"S. Russell","year":"2003","unstructured":"Russell, S., Norvig, P.: Artificial Intelligence, A Modern Approach, 2nd edn. Prentice Hall, Englewood Cliffs (2003)","edition":"2"},{"key":"15_CR4","unstructured":"Murphy, K.P.: Dynamic Bayesian Networks: Representation, Inference and Learning, PhD dissertation, UC Berkeley, Computer Science Division (July 2002)"},{"key":"15_CR5","unstructured":"Mihajlovic, V., Petkovic, M.: Dynamic Bayesian Networks: A State of the Art, CTIT technical reports series, TR-CTIT-34 (2001)"},{"key":"15_CR6","doi-asserted-by":"crossref","unstructured":"Kao, H.-Y., Huang, C.-H., Li, H.-L.: Supply chain diagnostics with dynamic Bayesian networks. Computers & Industrial Engineering\u00a049 (2005)","DOI":"10.1016\/j.cie.2005.06.002"},{"key":"15_CR7","doi-asserted-by":"crossref","unstructured":"Daoudi, K., Fohr, D., Antoine, C.: Dynamic Bayesian networks for multi-band automatic speech recognition. Computer Speech & Language\u00a017 (2003)","DOI":"10.1016\/S0885-2308(03)00011-1"},{"key":"15_CR8","doi-asserted-by":"crossref","unstructured":"Huang, C.-L., Shih, H.-C., Chao, C.-Y.: Semantic analysis of soccer video using dynamic Bayesian network. IEEE Transactions on Multimedia\u00a08 (2006)","DOI":"10.1109\/TMM.2006.876289"},{"key":"15_CR9","doi-asserted-by":"crossref","unstructured":"Dielmann, A., Renals, S.: Automatic Meeting Segmentation Using Dynamic Bayesian Networks. IEEE Transactions on Multimedia\u00a09 (2007)","DOI":"10.1109\/TMM.2006.886337"},{"key":"15_CR10","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"240","DOI":"10.1007\/11907503_22","volume-title":"Smart Sensing and Context","author":"W. Zajdel","year":"2006","unstructured":"Zajdel, W., Cemgil, A.T., Kr\u00f6se, B.J.A.: Dynamic Bayesian Networks for Visual Surveillance with Distributed Cameras. In: Havinga, P., Lijding, M., Meratnia, N., Wegdam, M. (eds.) EUROSSC 2006. LNCS, vol.\u00a04272, pp. 240\u2013243. Springer, Heidelberg (2006)"},{"key":"15_CR11","doi-asserted-by":"crossref","unstructured":"Likforman-Sulem, L., Sigelle, M.: Recognition of degraded characters using dynamic Bayesian networks. Pattern Recognition\u00a041 (2008)","DOI":"10.1016\/j.patcog.2008.03.022"},{"key":"15_CR12","doi-asserted-by":"crossref","unstructured":"Tsamardinos, I., Brown, L.E., Aliferis, C.F.: The max-min hill-climbing Bayesian network structure learning algorithm. Machine Learning\u00a065 (2006)","DOI":"10.1007\/s10994-006-6889-7"},{"key":"15_CR13","doi-asserted-by":"crossref","unstructured":"Pinto, P.C., Nagele, A., Dejori, M., Runkler, T.A., Sousa, J.M.C.: Using a Local Discovery Ant Algorithm for Bayesian Network Structure Learning. IEEE Transactions on Evolutionary Computation\u00a013 (2009)","DOI":"10.1109\/TEVC.2009.2024142"},{"key":"15_CR14","doi-asserted-by":"crossref","unstructured":"Rajapaksea, J.C., Zhoua, J.: Learning effective brain connectivity with dynamic Bayesian networks. NeuroImage\u00a037 (2007)","DOI":"10.1016\/j.neuroimage.2007.06.003"},{"key":"15_CR15","volume-title":"Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference","author":"J. Pearl","year":"1988","unstructured":"Pearl, J.: Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference, 2nd edn. Morgan Kaufman, Los Altos (1988)","edition":"2"},{"key":"15_CR16","series-title":"Lecture Notes in Artificial Intelligence","doi-asserted-by":"publisher","first-page":"168","DOI":"10.1007\/BFb0053999","volume-title":"Adaptive Processing of Sequences and Data Structures","author":"Z. Ghahramani","year":"1998","unstructured":"Ghahramani, Z.: Learning Dynamic Bayesian Networks. In: Giles, C.L., Gori, M. (eds.) IIASS-EMFCSC-School 1997. LNCS (LNAI), vol.\u00a01387, p. 168. Springer, Heidelberg (1998)"},{"key":"15_CR17","unstructured":"Friedman, N., Murphy, K., Russell, S.: Learning the Structure of Dynamic Probabilistic Networks. In: Conference on Uncertainty in Artificial Intelligence, UAI 1998 (1998)"},{"key":"15_CR18","unstructured":"Friedman, N.: Learning Belief Networks in the Presence of Missing Values and Hidden Variables. In: International Conference on Machine Learning (1997)"},{"key":"15_CR19","unstructured":"LeCun, Y., Cortes, C.: The MNIST database of handwritten digits (1998), http:\/\/yann.lecun.com\/exdb\/mnist\/"},{"key":"15_CR20","unstructured":"Murphy, K.P.: BayesNet Toolbox for Matlab, http:\/\/people.cs.ubc.ca\/~murphyk\/Software\/BNT\/bnt.html (last updated 2007)"}],"container-title":["Lecture Notes in Computer Science","Hybrid Artificial Intelligence Systems"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-642-13769-3_15","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,5,29]],"date-time":"2019-05-29T22:01:17Z","timestamp":1559167277000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-642-13769-3_15"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2010]]},"ISBN":["9783642137686","9783642137693"],"references-count":20,"URL":"https:\/\/doi.org\/10.1007\/978-3-642-13769-3_15","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2010]]}}}