Examples of causal probabilistic expert systems

  • Masoud Noormohammadian
  • Ulrich G. Oppel
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 747)


Expert System Financial Analyst Lidar Signal Markov Kernel Posteriori Evaluation 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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  1. (1).
    Barth, M.: Aktienmarktanalyse mit kausal — probabilistischen Expertensystemen. Diplomarbeit: Fachbereich Mathematik, L-M-Universität München, 1992.Google Scholar
  2. (2).
    Barth, M.: AKTALYST, ein kausal — probabilistisches Expertensystem zur Wertpapieranalyse. Münchner Blätter zur Versicherungsmathematik. Heft 20. Juni 1993.Google Scholar
  3. (3).
    Bolie, V.W.: Coefficients of normal blood glucose regulation. J. Appl. Physiol. 16 (1979), 783–788.Google Scholar
  4. (4).
    Carson, E.R.; Cobelli, C.: Finkelstein, L.: The Mathematical Modeling of Metabolic and Endocrine Systems. Model Formulation, Identification, and Validation. J. Wiley and Sons: New York, 1983.Google Scholar
  5. (5).
    Gruseck, S.: Risikoanalyse in der Genetik mit kausal — probabilistischen Expertensystemen. Diplomarbeit: Fachbereich Mathematik, L-M-Universität München, 1993.Google Scholar
  6. (6).
    Hachemeister, C.A.: A stochastic model for loss reserving. Transactions of the 21st International Congress of Actuaries, 1 (1980), 185–194.Google Scholar
  7. (7).
    Matthes, R.; Oppel, U.G.: Convergence of causal probabilistic networks. In: Bouchon-Meunier, B.; Valverde, L.; Yager, R.R. (ed.): Intelligent Systems with Uncertainty. Elsevier: to appear 1993.Google Scholar
  8. (8).
    Lauritzen, S.L.; Spiegelhalter, D.: Local Computations with Probabilities on Graphical Structures and Their Application to Expert Systems. J. Roy. Stat. Soc. B, 50 (2) (1988), 157–224.Google Scholar
  9. (9).
    Noormohammadian, M.; Oppel, U.G.; Starkov, A.: Expertensysteme zur Datenanalyse technischer und ökologischer Multisensor systeme. In: Werner, Ch.; Tacke, M.; Günther, K.; Klein, V.; Weber, K.; Woods, P.; Weitcamp, C.; Kunz, J. (ed.): LASER in der Umweltmeßtechnik. Springer: to appear 1993.Google Scholar
  10. (10).
    Oppel, U.G.: Every complex system can be determined by a causal probabilistic network without cycles and every such network determines a Markov field. In: Kruse, R.; Siegel, P.: Symbolic and Quantitative Approaches to Uncertainty. Springer: Berlin, 1991.Google Scholar
  11. (11).
    Oppel, U.G.; Moser, W.: Kausal — probabilistische Netze zur Konstruktion medizinischer Expertensysteme für Diagnose, Simulation und Prognose. Biometrie und Informatik in Medizin und Biologie 23 (1992), 84–93.Google Scholar
  12. (12).
    Oppel, U.G.; Hierle, A.: Janke, L.; Moser, W.: Transformation of compartimental models into sequences of causal probabilistic networks. Proceedings of AIME'93, 4th Conference on Artificial Intelligence in Medicine Europe, Munich, October 3–6, 1993.Google Scholar
  13. (13).
    Pearl, J.: Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference. Morgan Kaufmann: San Matteo, 1988.Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 1993

Authors and Affiliations

  • Masoud Noormohammadian
    • 1
  • Ulrich G. Oppel
    • 1
  1. 1.Mathematisches Institut der Ludwig - Maximilians - Universität MünchenMünchenGermany

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