On approximating K-Most probable explanations of Bayesian networks using genetic algorithms

Surapong Auwatanamongkol, advisorNalerk Sriwachirawat2014-05-052014-05-052006http://repository.nida.ac.th/handle/662723737/422Thesis (M.S. (Computer Science))--National Institute of Development Administration, 2006.xiii, 117 leaves ; 30 cm.application/pdfengThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.QA 76.623 N147 2006Genetic algorithmsGenetic programming (Computer science)Artificial intelligenceOn approximating K-Most probable explanations of Bayesian networks using genetic algorithmstext--thesis--master thesis10.14457/NIDA.the.2006.284