A differential approach to inference in Bayesian networks

@inproceedings{Darwiche2000ADA,
  title={A differential approach to inference in Bayesian networks},
  author={Adnan Darwiche},
  booktitle={J. ACM},
  year={2000}
}
We present a new approach to inference in Bayesian networks, which is based on representing the network using a polynomial and then retrieving answers to probabilistic queries by evaluating and differentiating the polynomial. The network polynomial itself is exponential in size, but we show how it can be computed efficiently using an arithmetic circuit that can be evaluated and differentiated in time and space linear in the circuit size. The proposed framework for inference subsumes one of the… CONTINUE READING
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Bayesian updating in recursive graphical models by local computation

  • F. V. Jensen, S. Lauritzen, K. Olesen
  • Computational Statistics Quarterly 4, 269–282.
  • 1990
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