An algorithm for finding MAPs for belief networks through cost-based abduction
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Publication:5906312
DOI10.1016/S0004-3702(98)00074-5zbMath0908.68163OpenAlexW1969373224MaRDI QIDQ5906312
Publication date: 12 January 1999
Published in: Artificial Intelligence (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/s0004-3702(98)00074-5
Cites Work
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- Finding MAPs for belief networks is NP-hard
- A Prolog-like inference system for computing minimum-cost abductive explanations in natural-language interpretation
- Belief networks revisited
- Polynomial solvability of cost-based abduction
- Neural networks and physical systems with emergent collective computational abilities.
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