SamIam is a comprehensive tool for modeling and reasoning with Bayesian networks, developed in Java by the Automated Reasoning Group of Professor Adnan Darwiche at UCLA. Samiam includes two main components: a graphical user interface and a reasoning engine. The graphical interface lets users develop Bayesian network models and save them in a variety of formats. The reasoning engine supports many tasks including: classical inference; parameter estimation; time-space tradeoffs; sensitivity analysis; and explanation-generation based on MAP and MPE.

References in zbMATH (referenced in 17 articles , 1 standard article )

Showing results 1 to 17 of 17.
Sorted by year (citations)

  1. Manuele Leonelli, Ramsiya Ramanathan, Rachel Wilkerson: Sensitivity and robustness analysis in Bayesian networks with the bnmonitor R package (2021) arXiv
  2. Görgen, Christiane; Leonelli, Manuele: Model-preserving sensitivity analysis for families of Gaussian distributions (2020)
  3. Villanueva Llerena, Julissa; Mauá, Denis Deratani: Efficient algorithms for robustness analysis of maximum a posteriori inference in selective sum-product networks (2020)
  4. Leonelli, Manuele: Sensitivity analysis beyond linearity (2019)
  5. Amsalu, Seifemichael B.; Homaifar, Abdollah; Esterline, Albert C.: A simplified matrix formulation for sensitivity analysis of hidden Markov models (2017)
  6. Leonelli, Manuele; Görgen, Christiane; Smith, Jim Q.: Sensitivity analysis in multilinear probabilistic models (2017)
  7. Leonelli, Manuele; Riccomagno, Eva; Smith, Jim Q.: A symbolic algebra for the computation of expected utilities in multiplicative influence diagrams (2017)
  8. Renooij, Silja: Co-variation for sensitivity analysis in Bayesian networks: properties, consequences and alternatives (2014)
  9. Renooij, Silja: Efficient sensitivity analysis in hidden Markov models (2012)
  10. Chan, Hei; Darwiche, Adnan: When do numbers really matter? (2011) ioport
  11. Rietbergen, Merel T.; van der Gaag, Linda C.: Attaining monotonicity for Bayesian networks (2011)
  12. Darwiche, Adnan: Modeling and reasoning with Bayesian networks. (2009)
  13. Geib, Christopher W.; Goldman, Robert P.: A probabilistic plan recognition algorithm based on plan tree grammars (2009) ioport
  14. Chan, Hei; Darwiche, Adnan: A distance measure for bounding probabilistic belief change (2005)
  15. Liu, Chao-Lin; Wellman, Michael P.: Bounding probabilistic relationships in Bayesian networks using qualitative influences: methods and applications (2004)
  16. Park, James D.; Darwiche, Adnan: A differential semantics for jointree algorithms (2004)
  17. Chan, H.; Darwiche, A.: When do numbers really matter? (2002)