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gptkbp:instanceOf
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gptkb:probabilistic_graphical_model
gptkb:statistical_analysis
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gptkbp:alsoKnownAs
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gptkb:Bayes_network
gptkb:belief_network
gptkb:Boltzmann_machine
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gptkbp:appliesTo
|
gptkb:diagnosis
gptkb:dictionary
gptkb:gene_regulatory_networks
risk analysis
anomaly detection
decision support systems
prediction
data imputation
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gptkbp:canBe
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data
expert knowledge
|
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gptkbp:canLearnMove
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parameter learning algorithms
structure learning algorithms
|
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gptkbp:component
|
edges
nodes
conditional probability tables
|
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gptkbp:describedBy
|
Pearl, J. (1988). Probabilistic Reasoning in Intelligent Systems
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gptkbp:enables
|
probabilistic reasoning
learning from data
efficient inference
|
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gptkbp:formedBy
|
gptkb:Judea_Pearl
|
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gptkbp:hasModel
|
uncertainty
causal relationships
joint probability distributions
|
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gptkbp:hasProperty
|
no directed cycles
local Markov property
factorization of joint distribution
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gptkbp:inferenceMethod
|
belief propagation
variable elimination
sampling methods
junction tree algorithm
|
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gptkbp:namedAfter
|
gptkb:Thomas_Bayes
|
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gptkbp:relatedTo
|
gptkb:Markov_network
gptkb:dynamic_Bayesian_network
gptkb:causal_network
|
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gptkbp:represents
|
set of variables and their conditional dependencies
|
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gptkbp:usedIn
|
gptkb:diagnosis
gptkb:artificial_intelligence
gptkb:machine_learning
statistics
bioinformatics
decision making
|
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gptkbp:uses
|
gptkb:directed_acyclic_graph
|
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gptkbp:bfsParent
|
gptkb:Bayes_network
gptkb:Bayesian_belief_network
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gptkbp:bfsLayer
|
9
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|
https://www.w3.org/2000/01/rdf-schema#label
|
Bayes net
|