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Updating Credal Networks is Approximable in Polynomial Time
Denis Deratani Mauá
, C. P. de Campos
, Marco Zaffalon
Decision Support Systems
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Dive into the research topics of 'Updating Credal Networks is Approximable in Polynomial Time'. Together they form a unique fingerprint.
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Keyphrases
Polynomial Time
100%
Credal Networks
100%
Number of States
25%
Expressiveness
25%
Bayesian Network
25%
Approximation Algorithms
25%
Closed Convex Sets
25%
State-of-the-art Techniques
25%
Approximation Scheme
25%
FPTAS
25%
Bounded Treewidth
25%
Uncertainty Representation
25%
Posterior Inference
25%
Error Factors
25%
Sets of Probability Measures
25%
Precise Probability
25%
Variable Elimination Algorithm
25%
Input Size
25%
High Computational Cost
25%
Time Polynomial
25%
Computer Science
Polynomial Time
100%
Bayesian Networks
50%
Approximation Algorithms
50%
Fully Polynomial-Time Approximation Scheme
50%
Variable Elimination
50%
approximation scheme
50%
Probability
50%
Computational Cost
50%
Good Approximation
50%
Probability Measure
50%
Mathematics
Credal Network
100%
Polynomial Time
100%
Bayesian Network
25%
Probability Measure
25%
Closed Convex Set
25%
Computational Cost
25%
Bounded Number
25%
Expressiveness
25%
Good Approximation
25%
Fully Polynomial-Time Approximation Scheme
25%
Probability
25%