Course on Artificial Intelligence and Intelligent Systems Logical-Statistical models and parameter learning in the PRISM system

@inproceedings{Christiansen2007CourseOA,
  title={Course on Artificial Intelligence and Intelligent Systems Logical-Statistical models and parameter learning in the PRISM system},
  author={Henning Christiansen},
  year={2007}
}
3 More on using PRISM illustrated by a Bayesian Network 4 3.1 Defining a Bayesian network in PRISM . . . . . . . . . . . . . . . . . . . . . . . . . 5 3.2 Estimating probabilities for hidden random variables . . . . . . . . . . . . . . . . . . 6 3.3 Learning probabilities . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7 3.4 A final remark on learning . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9 

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B-Prolog web site, 1994–2007

  • Neng-Fa Zhou
  • http://www.probp.com/
  • 2007
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PRISM, PRogramming In Statistical Modeling; web site, 2007. http://satowww.cs.titech.ac.jp/prism

  • Taisuke Sato
  • 2007
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Introduction to Bayesian Networks

  • Finn Verner Jensen
  • 2002
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