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Deterministic approximation of marginal probabilities in Bayes nets
Eugene Santos,
Solomon Eyal Shimony
Department of Computer Science
Research output
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Contribution to journal
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Article
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peer-review
11
Scopus citations
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Dive into the research topics of 'Deterministic approximation of marginal probabilities in Bayes nets'. Together they form a unique fingerprint.
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Keyphrases
Approximate Posterior
33%
Approximation Scheme
33%
Automated Decision-making
33%
Bayes Network
100%
Belief Updating
33%
Best-first Search
33%
Clique Size
33%
Complete Assignment
33%
Connected Network
33%
Cut Set
33%
Decision System
33%
Deterministic Approximation
100%
Existing Algorithms
33%
Exponential Time
33%
First-best
33%
Heuristic Search
33%
High Probability
66%
Highly Connected
33%
Inclusion-exclusion
33%
Integer Linear Programming
66%
Marginal Probability
100%
Maximum Clique
33%
Posterior Probability
33%
Probability Space
33%
Problem Instances
33%
Special Purpose
33%
Computer Science
Approximation (Algorithm)
100%
approximation scheme
33%
Connected Network
33%
Decision-Making
33%
Experimental Result
33%
Good Approximation
66%
Heuristic Search
33%
Linear Program
66%
Marginal Probability
100%
Posterior Probability
33%
Probability Mass
100%
Probability Space
33%
Problem Instance
33%
Search Algorithm
33%
Special Purpose
33%
Mathematics
Approximates
16%
Clique
16%
Connected Network
16%
Exponential Time
16%
Good Approximation
33%
Integer
33%
Linear Program
33%
Marginal Probability
100%
Probability Space
16%
Probability Theory
100%
Refines
16%
Search Algorithm
16%
Worst Case
16%
Earth and Planetary Sciences
Decision Making
100%