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Lazy evaluation in penniless propagation over join trees

✍ Scribed by Andrés Cano; Serafín Moral; Antonio Salmerón


Publisher
John Wiley and Sons
Year
2002
Tongue
English
Weight
162 KB
Volume
39
Category
Article
ISSN
0028-3045

No coin nor oath required. For personal study only.


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In this article we introduce some modifications over the Penniless propagation algorithm. When a message through the join tree is approximated, the corresponding error is quantified in terms of an improved information measure, which leads to a new way of pruning several values in a probability tree