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Context-Specific Independence in Bayesian Networks (1996)

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by Craig Boutilier , Nir Friedman , Moises Goldszmidt , Daphne Koller
Citations:240 - 28 self
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User correction supplied by SystemCorrections

DatumValueSource
TITLE Context-Specific Independence in Bayesian Networks user correction - Legacy Corrections
AUTHOR NAME Craig Boutilier user correction - Legacy Corrections
AUTHOR AFFIL ; Dept. of Computer Science; University of British Columbia; Abstract user correction - Legacy Corrections
AUTHOR ADDR ; Vancouver, BC V6T 1Z4 user correction - Legacy Corrections
AUTHOR NAME Nir Friedman user correction - Legacy Corrections
AUTHOR AFFIL Dept. of Computer Science; Stanford University user correction - Legacy Corrections
AUTHOR ADDR Stanford, CA 94305-9010 user correction - Legacy Corrections
AUTHOR NAME Moises Goldszmidt user correction - Legacy Corrections
AUTHOR NAME Daphne Koller user correction - Legacy Corrections
ABSTRACT Bayesiannetworks provide a languagefor qualitatively representing the conditional independence properties of a distribution. This allows a natural and compact representation of the distribution, eases knowledge acquisition, and supports effective inference algorithms. user correction - Legacy Corrections
YEAR 1996 INFERENCE
VENUE TYPE CONFERENCE INFERENCE
PAGES 115--123 INFERENCE
CITATIONS 21 found ParsCit 1.0
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