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- W4313484881 abstract "One prominent method to perform inference on probabilistic graphical models is the probability propagation in trees of clusters (PPTC) algorithm. In this paper, we demonstrate the use of partial evaluation, an established technique from the compiler domain, to improve the performance of online Bayesian inference using the PPTC algorithm in the context of observed evidence. We present a metaprogramming-based method to transform a base program into an optimized version by precomputing the static input at compile time while guaranteeing behavioral equivalence. We achieve an inference time reduction of 21% on average for the Promedas benchmark." @default.
- W4313484881 created "2023-01-06" @default.
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- W4313484881 date "2022-08-01" @default.
- W4313484881 modified "2023-10-13" @default.
- W4313484881 title "Partial Evaluation in Junction Trees" @default.
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- W4313484881 doi "https://doi.org/10.1109/dsd57027.2022.00064" @default.
- W4313484881 hasPublicationYear "2022" @default.
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