Parallel implementations of probabilistic inference

Alexander V. Kozlov, Jaswinder Pal Singh

Research output: Contribution to specialist publicationArticle

16 Scopus citations

Abstract

Probabilistic inference is becoming an integral part of decision-making systems, but it is so computationally intensive that it is often impractical. The authors report on the effectiveness of speeding up this technique by exploiting its parallelism.

Original languageEnglish (US)
Pages33-40
Number of pages8
Volume29
No12
Specialist publicationComputer
DOIs
StatePublished - Dec 1 1996

All Science Journal Classification (ASJC) codes

  • Computer Science(all)

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