{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T04:22:31Z","timestamp":1750306951329,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":28,"publisher":"ACM","license":[{"start":{"date-parts":[[2013,7,6]],"date-time":"2013-07-06T00:00:00Z","timestamp":1373068800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2013,7,6]]},"DOI":"10.1145\/2464576.2482729","type":"proceedings-article","created":{"date-parts":[[2013,7,24]],"date-time":"2013-07-24T13:26:51Z","timestamp":1374672411000},"page":"1505-1512","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":6,"title":["Towards a method for automatically evolving bayesian network classifiers"],"prefix":"10.1145","author":[{"given":"Alex Guimar\u00e3es Cardoso","family":"de S\u00e1","sequence":"first","affiliation":[{"name":"Federal University of Minas Gerais, Belo Horizonte, Minas Gerais, Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Gisele Lobo","family":"Pappa","sequence":"additional","affiliation":[{"name":"Federal University of Minas Gerais, Belo Horizonte, Minas Gerais, Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2013,7,6]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"UCI machine learning repository","author":"Asuncion A.","year":"2007","unstructured":"A. Asuncion and D. Newman . UCI machine learning repository , 2007 . A. Asuncion and D. Newman. UCI machine learning repository, 2007."},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1145\/2001858.2002050"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1145\/2330163.2330335"},{"key":"e_1_3_2_1_4_1","volume-title":"WEKA Manual for Version 3-6-9","author":"Bouckaert R. R.","year":"2013","unstructured":"R. R. Bouckaert , E. Frank , M. Hall , R. Kirkby , P. Reutemann , A. Seewald , and D. Scuse . WEKA Manual for Version 3-6-9 . University of Waikato , Hamilton, New Zealand, January 2013 . R. R. Bouckaert, E. Frank, M. Hall, R. Kirkby, P. Reutemann, A. Seewald, and D. Scuse. WEKA Manual for Version 3-6-9. University of Waikato, Hamilton, New Zealand, January 2013."},{"key":"e_1_3_2_1_5_1","volume-title":"Metalearning: Applications to Data Mining","author":"Brazdil P.","year":"2008","unstructured":"P. Brazdil , C. Giraud-Carrier , C. Soares , and R. Vilalta . Metalearning: Applications to Data Mining . Springer , 2008 . P. Brazdil, C. Giraud-Carrier, C. Soares, and R. Vilalta. Metalearning: Applications to Data Mining. Springer, 2008."},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1023\/A:1018054314350"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.5555\/2073796.2073808"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.5555\/647462.726278"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.1968.1054142"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1023\/A:1022649401552"},{"key":"e_1_3_2_1_11_1","volume-title":"Introduction to Algorithms","author":"Cormen T. H.","year":"2009","unstructured":"T. H. Cormen , C. E. Leiserson , R. L. Rivest , and C. Stein . Introduction to Algorithms . The MIT Press , 3 rd edition, 2009 . T. H. Cormen, C. E. Leiserson, R. L. Rivest, and C. Stein. Introduction to Algorithms. The MIT Press, 3rd edition, 2009.","edition":"3"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1017\/S0269888910000251"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1007\/s12065-007-0002-4"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.5555\/646943.712093"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1023\/A:1007465528199"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1023\/A:1009730122752"},{"key":"e_1_3_2_1_17_1","first-page":"117","volume-title":"Proceedings of the Sixth Annual Conference on Uncertainty in Artificial Intelligence, UAI '90","author":"Herskovits E.","year":"1991","unstructured":"E. Herskovits and G. F. Cooper . Kulat\u00f3: An entropy-driven system for construction of probabilistic expert systems from databases . In Proceedings of the Sixth Annual Conference on Uncertainty in Artificial Intelligence, UAI '90 , pages 117 -- 128 , New York, NY, USA , 1991 . Elsevier Science Inc. E. Herskovits and G. F. Cooper. Kulat\u00f3: An entropy-driven system for construction of probabilistic expert systems from databases. In Proceedings of the Sixth Annual Conference on Uncertainty in Artificial Intelligence, UAI '90, pages 117--128, New York, NY, USA, 1991. Elsevier Science Inc."},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.5555\/1867135.1867170"},{"key":"e_1_3_2_1_19_1","volume-title":"A review on evolutionary algorithms in bayesian network learning and inference tasks. Information Sciences, page in press","author":"Larra\u00f1aga P.","year":"2013","unstructured":"P. Larra\u00f1aga , H. Karshenas , C. Bielza , and R. Santana . A review on evolutionary algorithms in bayesian network learning and inference tasks. Information Sciences, page in press , 2013 . P. Larra\u00f1aga, H. Karshenas, C. Bielza, and R. Santana. A review on evolutionary algorithms in bayesian network learning and inference tasks. Information Sciences, page in press, 2013."},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1145\/2330784.2330794"},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.5555\/1721890"},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1016\/S0933-3657(02)00055-6"},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.5555\/2010978.2010980"},{"key":"e_1_3_2_1_25_1","volume-title":"E82-D:356--367","author":"Suzuki J.","year":"1999","unstructured":"J. Suzuki . Learning bayesian belief networks based on the mdl principle: An efficient algorithm using the branch and bound technique. IEICE Transactions on Information and Systems , E82-D:356--367 , 1999 . Institute of Electronics , Information and Communication Engineers. J. Suzuki. Learning bayesian belief networks based on the mdl principle: An efficient algorithm using the branch and bound technique. IEICE Transactions on Information and Systems, E82-D:356--367, 1999. Institute of Electronics, Information and Communication Engineers."},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1023\/A:1019956318069"},{"key":"e_1_3_2_1_27_1","unstructured":"Weka Machine Learning. Weka URL: http:\/\/www.cs.waikato.ac.nz\/~ml\/weka.  Weka Machine Learning. Weka URL: http:\/\/www.cs.waikato.ac.nz\/~ml\/weka."},{"key":"e_1_3_2_1_28_1","volume-title":"Data Mining: Practical Machine Learning Tools and Techniques","author":"Witten I. H.","year":"2011","unstructured":"I. H. Witten , E. Frank , and M. A. Data Mining: Practical Machine Learning Tools and Techniques . Morgan Kaufmann Publishers Inc ., San Francisco, CA, USA, 3 rd edition, 2011 . I. H. Witten, E. Frank, and M. A. Data Mining: Practical Machine Learning Tools and Techniques. Morgan Kaufmann Publishers Inc., San Francisco, CA, USA, 3rd edition, 2011.","edition":"3"},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.1016\/S0893-6080(05)80023-1"}],"event":{"name":"GECCO '13: Genetic and Evolutionary Computation Conference","sponsor":["SIGEVO ACM Special Interest Group on Genetic and Evolutionary Computation"],"location":"Amsterdam The Netherlands","acronym":"GECCO '13"},"container-title":["Proceedings of the 15th annual conference companion on Genetic and evolutionary computation"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/2464576.2482729","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/2464576.2482729","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T08:38:59Z","timestamp":1750235939000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/2464576.2482729"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2013,7,6]]},"references-count":28,"alternative-id":["10.1145\/2464576.2482729","10.1145\/2464576"],"URL":"https:\/\/doi.org\/10.1145\/2464576.2482729","relation":{},"subject":[],"published":{"date-parts":[[2013,7,6]]},"assertion":[{"value":"2013-07-06","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}