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Volumn , Issue , 2007, Pages 10-14

A Bayesian network based approach for root-cause-analysis in manufacturing process

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; BAYESIAN NETWORKS; CONSTRAINED OPTIMIZATION; CONSTRAINT THEORY; INDUSTRIAL ENGINEERING; INFERENCE ENGINES; INTELLIGENT CONTROL; ONTOLOGY; PROBABILITY; PROCESS ENGINEERING; PRODUCTION ENGINEERING; RISK ASSESSMENT; TECHNOLOGY;

EID: 48349098654     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CIS.2007.7     Document Type: Conference Paper
Times cited : (18)

References (9)
  • 1
    • 33745771787 scopus 로고    scopus 로고
    • Exploiting parameter domain knowledge for learning in Bayesian networks
    • Technical Report CMU-TR-05-147, Carnegie Mellon University
    • R. S. Niculescu. "Exploiting parameter domain knowledge for learning in Bayesian networks", Technical Report CMU-TR-05-147, Carnegie Mellon University, 2005.
    • (2005)
    • Niculescu, R.S.1
  • 5
    • 48349126878 scopus 로고    scopus 로고
    • Helsper, E.M., & Gaag, L.C. van der (2002). Building Bayesian networks through ontologies. In F. van Harmelen (Ed.), Proceedings of the 15th European Conference on Artificial Intelligence (pp. 680-684). Amsterdam, the Netherlands: IOS Press.
    • Helsper, E.M., & Gaag, L.C. van der (2002). "Building Bayesian networks through ontologies". In F. van Harmelen (Ed.), Proceedings of the 15th European Conference on Artificial Intelligence (pp. 680-684). Amsterdam, the Netherlands: IOS Press.
  • 6
    • 38349037381 scopus 로고    scopus 로고
    • BayesOWL: Uncertainty Modeling in Semantic Web Ontologies
    • Springer-Verlag, December
    • Zhongli Ding, Yun Peng, and Rong Pan, "BayesOWL: Uncertainty Modeling in Semantic Web Ontologies". In Son Computing in Ontologies and Semantic Web, Springer-Verlag, December 2005.
    • (2005) Son Computing in Ontologies and Semantic Web
    • Ding, Z.1    Peng, Y.2    Pan, R.3
  • 7
    • 33645966244 scopus 로고    scopus 로고
    • Feelders, A.J., & Gaag, L.C. van der (2006). Learning Bayesian network parameters under order constraints. International Journal of Approximate Reasoning, 42, 37-53.
    • Feelders, A.J., & Gaag, L.C. van der (2006). "Learning Bayesian network parameters under order constraints". International Journal of Approximate Reasoning, 42, 37-53.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.