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Mixing exact and importance sampling propagation algorithms in dependence graphs

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Publication:4363345
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DOI<553::AID-INT1>3.0.CO;2-J 10.1002/(SICI)1098-111X(199708)12:8<553::AID-INT1>3.0.CO;2-JzbMath0883.68103OpenAlexW2138215503MaRDI QIDQ4363345

Serafín Moral, Luis D. Hernández

Publication date: 26 February 1998

Full work available at URL: https://doi.org/10.1002/(sici)1098-111x(199708)12:8<553::aid-int1>3.0.co;2-j


zbMATH Keywords

junction tree


Mathematics Subject Classification ID

Graph theory (including graph drawing) in computer science (68R10) Parallel algorithms in computer science (68W10) Theory of languages and software systems (knowledge-based systems, expert systems, etc.) for artificial intelligence (68T35)


Related Items (3)

Imprecise Monte Carlo simulation and iterative importance sampling for the estimation of lower previsions ⋮ Importance sampling-based estimation over AND/OR search spaces for graphical models ⋮ A Monte Carlo algorithm for probabilistic propagation in belief networks based on importance sampling and stratified simulation techniques




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