참고문헌
- K. B. Korb and A. E. Nicholson, Bayesian Artificial Intelligence, Chapman & Hall/CRC, 2003
- B. Neumann, A Conceptual Framework for High-Level Vision, Bericht, FB Informatik, FBI-HHB245/03, 2003
- J. Fernyhough et al., 'Building qualitative event models automatically from visual input,' In Proc. ICCV-98, IEEE Computer Society, pp.350-355, 1998 https://doi.org/10.1109/ICCV.1998.710742
- L. R. Biswas, et al., 'A probabilistic approach to inference with limited information in sensor networks,' In Proc. of the 3rd Int. Symposium on Information Processing in Sensor Networks, pp.269-276, 2004 https://doi.org/10.1145/984622.984662
- P. Spirtes, et al., Causation, Prediction, and Search (2nd edition), MIT Press, Cambridge, 2000
- N. Friedman and M. Goldszmidt, 'Learning Bayesian networks with local structure,' M.I. Jordan (eds.), Learning in Graphical Models, MIT Press, Cambridge, pp. 421-459, 1999
- D.M. Chickering, 'Learning Bayesian networks is NP-complete,' D. Fisher, H.-J. Lenz (eds.), Learning from Data: Artificial Intelligence and Statistics V, Springer-Verlag, Berlin Heidelberg New York, pp. 121-130, 1996
- G. F. Cooper and E. Herskovits, 'A Bayesian method for the induction of probabilistic networks from data,' Machine Learning, vol. 9, pp. 309-347, 1992 https://doi.org/10.1007/BF00994110
- M. L. Wong and K. S. Leung, 'An efficient data mining method for learning Bayesian networks using an evolutionary algorithm-based hybrid approach,' IEEE Transactions on Evolutionary Computation, vol. 8, no. 6, pp. 532-545, Aug. 2004 https://doi.org/10.1109/TEVC.2004.830334
- A. Torralba, et al., 'Context-based vision system for place and object recognition,' In Proc. of Int. Conf. Computer Vision, pp.273-280, 2003
- M. Marengoni, et al., 'Decision making and uncertainty management in a 3D reconstruction system,' IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 25, no.7, pp.852-858, July 2003 https://doi.org/10.1109/TPAMI.2003.1206514
- J. Rissanen, 'Modeling by shortest data description,' Automatica, vol. 14, pp. 465-471, 1978 https://doi.org/10.1016/0005-1098(78)90005-5
- R. R. Bouckaert, 'Bayesian belief networks: From inference to construction,' Ph.D.Dissertation, Utrecht Univ., Utrecht, The Netherlands, 1995
- B. G. Buchanan and E. H. Shortliffe, Rule-based Expert Systems: The MYCIN Experiments of The Stanford Heuristic Programming Project, Addison-Wesley, Reading, MA, 1984
- J. Pearl, Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference, Morgan Kaufmann, San Mateo, CA, 1988
- T. Choudhury et al., 'Boosting and structure learning in dynamic Bayesian networks for audiovisual speaker detection,' Proc. of Int. Conf. on Pattern Recognition, vol. 3, pp. 789-794, Aug. 2002 https://doi.org/10.1109/ICPR.2002.1048137
- H. Schneiderman, 'Learning a restricted Bayesian network for object detection,' In Proc. of IEEE Conf. on Computer Vision and Pattern Recognition, pp. 639-646, June 2004 https://doi.org/10.1109/CVPR.2004.1315224
- P. Lucas, 'Restricted Bayesian network structure learning,' In Proc. of 14th Belgian-Dutch Conf. on Artificial Intelligence, pp. 211-218, 2002
- B. Smith, 'Basic concepts of formal ontology,' Formal Ontology in Information Systems, IOS Press, pp. 19-28, 1998
- 황금성, 조성배, '효율적인 컨텍스트 분류를 위한 베이 지안 네트워크 구조의 제한 학습', 한국정보과학회 가을학술발표논문집, vol. 31, no. 2, pp. 112-114, 2004