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en:dydaktyka:problog:lab1 [2017/06/04 12:13]
msl [Probabilistic Programming -- Medical Cases]
en:dydaktyka:problog:lab1 [2019/06/27 15:49] (current)
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-====== Probabilistic Programming — Medical Cases ======+====== Probabilistic Programming — Diagnosis and Prediction ​======
  
 This class will cover use cases of the Bayesian methods in the medical domain. First part of the class is based on article: "Local computations with probabilities on graphical structures and their application to expert systems"​ by Lauritzen, Steffen L. and David J. Spiegelhalter. Second part is inspired by "An intercausal cancellation model for bayesian-network engineering. International Journal of Approximate Reasoning"​ by S.P. Woudenberg, L. C. van der Gaag, and C. M. Rademaker. This class will cover use cases of the Bayesian methods in the medical domain. First part of the class is based on article: "Local computations with probabilities on graphical structures and their application to expert systems"​ by Lauritzen, Steffen L. and David J. Spiegelhalter. Second part is inspired by "An intercausal cancellation model for bayesian-network engineering. International Journal of Approximate Reasoning"​ by S.P. Woudenberg, L. C. van der Gaag, and C. M. Rademaker.
en/dydaktyka/problog/lab1.1496571183.txt.gz · Last modified: 2019/06/27 16:00 (external edit)
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