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Volumn , Issue , 2008, Pages 931-936

Dynamic data feed to Bayesian network model and SMILE web application

Author keywords

[No Author keywords available]

Indexed keywords

APPLICATIONS; ARTIFICIAL INTELLIGENCE; DISTRIBUTED PARAMETER NETWORKS; ELECTRONIC DATA INTERCHANGE; INFERENCE ENGINES; INTELLIGENT NETWORKS; INTERNET; PAPER; SOFTWARE ENGINEERING; SPEECH ANALYSIS; TECHNICAL PRESENTATIONS; USER INTERFACES; WORLD WIDE WEB;

EID: 57749184575     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/SNPD.2008.67     Document Type: Conference Paper
Times cited : (10)

References (10)
  • 1
    • 57749210079 scopus 로고    scopus 로고
    • http://genie.sis.pitt.edu
  • 2
    • 57749176533 scopus 로고    scopus 로고
    • http://genie.sis.pitt.edu/wiki/Probabilistic-Decision-Support-System: -Bayesian-Networks
  • 3
    • 57749190671 scopus 로고    scopus 로고
    • http://genie.sis.pitt.edU/wiki/SMILE:-Probabilistic-Inference-in- Bayesian-Networks
  • 4
    • 57749200812 scopus 로고    scopus 로고
    • http://genie.sis.pitt.edu/wiki/Appendices:-XDSL-File-Format-XML-Schema- Definitions
  • 5
    • 40849120943 scopus 로고    scopus 로고
    • Encyclopedia of Library and Information Science, Second Edition
    • Marek J. Druzdzel and Roger R. Flynn, "Decision Support Systems", Encyclopedia of Library and Information Science, Second Edition, 2002.
    • (2002) Decision Support Systems
    • Druzdzel, M.J.1    Flynn, R.R.2
  • 6
    • 0343773001 scopus 로고    scopus 로고
    • Agniezka Onisko, Marek J. Druzdzel, Hanna Wasyluk, and Warsaw, Learning Bayesian Network parameters from Small Data Sets, International Journal of approximate Reasoning, 27(2):165-182, 2001.
    • Agniezka Onisko, Marek J. Druzdzel, Hanna Wasyluk, and Warsaw, "Learning Bayesian Network parameters from Small Data Sets", International Journal of approximate Reasoning, 27(2):165-182, 2001.
  • 7
    • 0025401005 scopus 로고
    • The computational complexity of probabilistic inference using Bayesian belief networks
    • March
    • Gregory F. Cooper, "The computational complexity of probabilistic inference using Bayesian belief networks", Artificial Intelligence, 42(2-3): 393-405, March 1990.
    • (1990) Artificial Intelligence , vol.42 , Issue.2-3 , pp. 393-405
    • Cooper, G.F.1
  • 9
    • 0031170063 scopus 로고    scopus 로고
    • An optimal approximation algorithm for Bayesian inference
    • Paul Dagum and Michael Luby, An optimal approximation algorithm for Bayesian inference, Artificial Intelligence, 93:1-27, 1997.
    • (1997) Artificial Intelligence , vol.93 , pp. 1-27
    • Dagum, P.1    Luby, M.2
  • 10
    • 0000045489 scopus 로고
    • Some practical issues in constructing belief networks
    • L. N. Kanal, T. S. Levitt, and J. F. Lemmer, editors, North-Holland, Amsterdam
    • M. Henrion. Some practical issues in constructing belief networks. In L. N. Kanal, T. S. Levitt, and J. F. Lemmer, editors, Uncertainty in Artificial Intelli-gence 3, pages 161-173. North-Holland, Amsterdam, 1989.
    • (1989) Uncertainty in Artificial Intelli-gence , vol.3 , pp. 161-173
    • Henrion, M.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.