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Volumn 3571 LNAI, Issue , 2005, Pages 88-99

Hydrologic models for emergency decision support using Bayesian networks

Author keywords

[No Author keywords available]

Indexed keywords

CONSTRAINT THEORY; DECISION SUPPORT SYSTEMS; MATHEMATICAL MODELS; SENSORS; STATISTICAL METHODS;

EID: 26944493010     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11518655_9     Document Type: Conference Paper
Times cited : (11)

References (16)
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    • Learning dynamic Bayesian network
    • C.L. Giles and M. Gori, editors, Adaptive Processing of Sequences and Data Structures, Springer
    • Z. Ghahramani. "Learning dynamic Bayesian network". In C.L. Giles and M. Gori, editors, Adaptive Processing of Sequences and Data Structures, volume 1387 of Lecture Notes in Computer Science, pages 168-197. Springer, 1998.
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    • Ghahramani, Z.1
  • 5
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    • Dynamic Bayesian networks: Representation
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    • Murphy, K. P., "Dynamic Bayesian Networks: Representation". Inference and Learning, Ph.D. thesis, UC Berkeley, Computer Science Division, July, 2002.
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    • Murphy, K.P.1
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    • A multi-agent system for emergency management in floods
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    • Cuena, J. Molina, M.: "A Multi-agent System for Emergency Management in Floods", in "Multiple Approaches to Intelligent Systems", Iman I., Kodratoff Y. (eds.). Lecture Notes in Artificial Intelligence, Springer, 1999.
    • (1999) Lecture Notes in Artificial Intelligence
    • Cuena, J.1    Molina, M.2
  • 7
    • 35048822480 scopus 로고    scopus 로고
    • A multi-agent system for emergency decision support
    • Proceedings of the Fourth International Conference Intelligent Data Engineering and Automated Learning IDEAL 03, Springer
    • Molina M., Blasco G: "A Multi-agent System for Emergency Decision Support". Proceedings of the Fourth International Conference Intelligent Data Engineering and Automated Learning IDEAL 03. LNCS, Springer, 2003.
    • (2003) LNCS
    • Molina, M.1    Blasco, G.2
  • 9
    • 0001006209 scopus 로고
    • Local computations with probabilities on graphical structures and their application to expert systems
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    • The case for probabilistic forecasting in hydrology
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    • Real-time flood forecasting using a stochastic rainfall generator
    • November
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    • Cano, R.1    Sordo, C.2    Gutiérrez, J.M.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.