Parallel implementations of probabilistic inference

Alexander V. Kozlov; Jaswinder Pal Singh

doi:10.1109/2.546607

Parallel implementations of probabilistic inference

Alexander V. Kozlov
, Jaswinder Pal Singh

Research output: Contribution to specialist publication › Article

18 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 language	English (US)
Pages	33-40
Number of pages	8
Volume	29
No	12
Specialist publication	Computer
DOIs	https://doi.org/10.1109/2.546607
State	Published - Dec 1996

All Science Journal Classification (ASJC) codes

General Computer Science

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10.1109/2.546607

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title = "Parallel implementations of probabilistic inference",

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.",

author = "Kozlov, \{Alexander V.\} and Singh, \{Jaswinder Pal\}",

note = "Funding Information: This work is funded in part by the US Advanced Research Projects Agency under contract N00039-91-C-0138.",

year = "1996",

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pages = "33--40",

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PY - 1996/12

Y1 - 1996/12

N2 - 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.

AB - 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.

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SN - 0018-9162

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SP - 33

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JO - Computer

JF - Computer

ER -

Parallel implementations of probabilistic inference

Abstract

All Science Journal Classification (ASJC) codes

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