{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,7,2]],"date-time":"2025-07-02T16:18:00Z","timestamp":1751473080315,"version":"3.32.0"},"reference-count":13,"publisher":"World Scientific Pub Co Pte Ltd","issue":"03","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int. J. Artif. Intell. Tools"],"published-print":{"date-parts":[[2005,6]]},"abstract":"<jats:p>Bayesian network (BN) is known to be one of the most solid probabilistic modeling tools. The theory of BN provides already several useful modifications of a classical network. Among those there are context-enabled networks such as multilevel networks or recursive multinets, which can provide separate BN modelling for different combinations of contextual features' values. The main challenge of this paper is the multilevel probabilistic meta-model (Bayesian Metanetwork), which is an extension of traditional BN and modification of recursive multinets. It assumes that interoperability between component networks can be modeled by another BN. Bayesian Metanetwork is a set of BN, which are put on each other in such a way that conditional or unconditional probability distributions associated with nodes of every previous probabilistic network depend on probability distributions associated with nodes of the next network. We assume parameters (probability distributions) of a BN as random variables and allow conditional dependencies between these probabilities. Several cases of two-level Bayesian Metanetworks were presented, which consist on interrelated predictive and contextual BN models.<\/jats:p>","DOI":"10.1142\/s0218213005002156","type":"journal-article","created":{"date-parts":[[2005,6,1]],"date-time":"2005-06-01T12:56:03Z","timestamp":1117630563000},"page":"371-384","source":"Crossref","is-referenced-by-count":13,"title":["A BAYESIAN METANETWORK"],"prefix":"10.1142","volume":"14","author":[{"given":"VAGAN","family":"TERZIYAN","sequence":"first","affiliation":[{"name":"Department of Mathematical Information Technology, University of Jyvaskyla, P. O. Box 35 (Agora), FIN-40014 Jyvaskyla, Finland"}]}],"member":"219","published-online":{"date-parts":[[2011,11,21]]},"reference":[{"volume-title":"Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference","year":"1988","author":"Pearl J.","key":"rf1"},{"key":"rf2","unstructured":"M.\u00a0Henrion, Proceedings of the 3-rd Annual Conference on Uncertainty in Artificial Intelligence (Elsevier, 1989)\u00a0pp. 161\u2013174."},{"key":"rf6","doi-asserted-by":"publisher","DOI":"10.1142\/S0219622002000099"},{"key":"rf7","doi-asserted-by":"crossref","unstructured":"D.\u00a0Geiger and D.\u00a0Heckerman, Artificial Intelligence\u00a082 (Elsevier, 1996)\u00a0pp. 45\u201374.","DOI":"10.1016\/0004-3702(95)00014-3"},{"key":"rf8","unstructured":"E. M.\u00a0Helsper and L. C.\u00a0van der Gaag, Proceedings of the 15th European Conference on Artificial Intelligence, ed. 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A.\u00a0Lozano and P.\u00a0Larranaga, Machine Learning\u00a047 (Kluwer, 2002)\u00a0pp. 63\u201390.","DOI":"10.1023\/A:1013683712412"},{"key":"rf16","doi-asserted-by":"publisher","DOI":"10.1007\/978-94-015-9397-7_7"},{"key":"rf17","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-39451-8_27"}],"container-title":["International Journal on Artificial Intelligence Tools"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.worldscientific.com\/doi\/pdf\/10.1142\/S0218213005002156","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T13:57:55Z","timestamp":1735739875000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.worldscientific.com\/doi\/abs\/10.1142\/S0218213005002156"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2005,6]]},"references-count":13,"journal-issue":{"issue":"03","published-online":{"date-parts":[[2011,11,21]]},"published-print":{"date-parts":[[2005,6]]}},"alternative-id":["10.1142\/S0218213005002156"],"URL":"https:\/\/doi.org\/10.1142\/s0218213005002156","relation":{},"ISSN":["0218-2130","1793-6349"],"issn-type":[{"type":"print","value":"0218-2130"},{"type":"electronic","value":"1793-6349"}],"subject":[],"published":{"date-parts":[[2005,6]]}}}