{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,17]],"date-time":"2026-05-17T20:07:14Z","timestamp":1779048434898,"version":"3.51.4"},"publisher-location":"New York, NY, USA","reference-count":15,"publisher":"ACM","license":[{"start":{"date-parts":[[2009,6,14]],"date-time":"2009-06-14T00:00:00Z","timestamp":1244937600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"DOI":"10.13039\/501100002855","name":"Ministry of Science and Technology of the People's Republic of China","doi-asserted-by":"publisher","award":["2009CB320801"],"award-info":[{"award-number":["2009CB320801"]}],"id":[{"id":"10.13039\/501100002855","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["60875044"],"award-info":[{"award-number":["60875044"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Program for Changjiang Scholars and Innovative Research Team in University","award":["IRT0652PCSIRT"],"award-info":[{"award-number":["IRT0652PCSIRT"]}]},{"DOI":"10.13039\/100000183","name":"Army Research Office","doi-asserted-by":"publisher","award":["W911NF-06-1-0331"],"award-info":[{"award-number":["W911NF-06-1-0331"]}],"id":[{"id":"10.13039\/100000183","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2009,6,14]]},"DOI":"10.1145\/1553374.1553389","type":"proceedings-article","created":{"date-parts":[[2009,6,16]],"date-time":"2009-06-16T09:34:36Z","timestamp":1245144876000},"page":"113-120","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":55,"title":["Structure learning of Bayesian networks using constraints"],"prefix":"10.1145","author":[{"given":"Cassio P.","family":"de Campos","sequence":"first","affiliation":[{"name":"Dalle Molle Institute for Artificial Intelligence (IDSIA), Switzerland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhi","family":"Zeng","sequence":"additional","affiliation":[{"name":"Rensselaer Polytechnic Institute (RPI), Troy NY"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qiang","family":"Ji","sequence":"additional","affiliation":[{"name":"Rensselaer Polytechnic Institute (RPI), Troy NY"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2009,6,14]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"UCI machine learning repository","author":"Asuncion A.","year":"2007","unstructured":"Asuncion, A., &amp; Newman, D. (2007). UCI machine learning repository. http:\/\/www.ics.uci.edu\/~mlearn\/MLRepository.html."},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1137\/S1052623497330963"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1016\/B978-1-55860-332-5.50018-3"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.5555\/2100584.2100599"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1162\/153244303321897717"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1023\/A:1022649401552"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1023\/A:1022623210503"},{"key":"e_1_3_2_1_8_1","volume-title":"Conf. on Uncertainty in Artificial Intelligence (pp. 241--248)","author":"Koivisto M.","year":"2006","unstructured":"Koivisto, M. (2006). Advances in exact bayesian structure discovery in bayesian networks. Conf. on Uncertainty in Artificial Intelligence (pp. 241--248) AUAI Press."},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.5555\/1005332.1005352"},{"key":"e_1_3_2_1_10_1","volume-title":"Conf. on Uncertainty in Artificial Intelligence. (pp. 445--452)","author":"Silander T.","year":"2006","unstructured":"Silander, T., &amp; Myllymaki, P. (2006). A simple approach for finding the globally optimal bayesian network structure. Conf. on Uncertainty in Artificial Intelligence. (pp. 445--452) AUAI Press."},{"key":"e_1_3_2_1_11_1","volume-title":"echnical Report). Carnegie Mellon Univ. CALD-05-106.","author":"Singh A. P.","year":"2005","unstructured":"Singh, A. P., &amp; Moore, A. W. (2005). Finding optimal bayesian networks by dynamic programming (Technical Report). Carnegie Mellon Univ. CALD-05-106."},{"key":"e_1_3_2_1_12_1","volume-title":"Int. Conf. on Machine Learning (pp. 462--470)","author":"Suzuki J.","year":"1996","unstructured":"Suzuki, J. (1996). Learning bayesian belief networks based on the minimum description length principle: An efficient algorithm using the B&B technique. Int. Conf. on Machine Learning (pp. 462--470)."},{"key":"e_1_3_2_1_13_1","volume-title":"Conf. on Uncertainty in Artificial Intelligence. (pp. 584--590)","author":"Teyssier M.","year":"2005","unstructured":"Teyssier, M., &amp; Koller, D. (2005). Ordering-based search: A simple and effective algorithm for learning bayesian networks. Conf. on Uncertainty in Artificial Intelligence. (pp. 584--590) AUAI Press."},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10994-006-6889-7"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1016\/0004-3702(90)90026-V"}],"event":{"name":"ICML '09: The 26th Annual International Conference on Machine Learning held in conjunction with the 2007 International Conference on Inductive Logic Programming","location":"Montreal Quebec Canada","acronym":"ICML '09","sponsor":["MITACS","Microsoft Research Microsoft Research","NSF"]},"container-title":["Proceedings of the 26th Annual International Conference on Machine Learning"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/1553374.1553389","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/1553374.1553389","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,5,17]],"date-time":"2026-05-17T19:51:49Z","timestamp":1779047509000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/1553374.1553389"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2009,6,14]]},"references-count":15,"alternative-id":["10.1145\/1553374.1553389","10.1145\/1553374"],"URL":"https:\/\/doi.org\/10.1145\/1553374.1553389","relation":{},"subject":[],"published":{"date-parts":[[2009,6,14]]},"assertion":[{"value":"2009-06-14","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}