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gptkbp:instanceOf
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gptkb:probabilistic_graphical_model
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|
gptkbp:allows
|
efficient representation of joint probability distributions
|
|
gptkbp:alsoKnownAs
|
gptkb:belief_network
gptkb:Boltzmann_machine
gptkb:Bayes_net
|
|
gptkbp:assumes
|
conditional independence
|
|
gptkbp:canBe
|
data
|
|
gptkbp:canBeSpecifiedBy
|
experts
|
|
gptkbp:describedBy
|
conditional probability distributions
|
|
gptkbp:edgeDirection
|
from parent to child
|
|
gptkbp:enables
|
reasoning under uncertainty
|
|
gptkbp:formedBy
|
1980s
|
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gptkbp:hasEdge
|
conditional dependency
|
|
gptkbp:hasNode
|
gptkb:random_variable
|
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gptkbp:inventedBy
|
gptkb:Judea_Pearl
gptkb:Lauritzen_and_Spiegelhalter
gptkb:Ross_Shachter
gptkb:Seymour_Geisser
|
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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
|
|
gptkbp:represents
|
set of variables and their conditional dependencies
|
|
gptkbp:usedFor
|
gptkb:diagnosis
gptkb:machine_learning
decision making
probabilistic inference
prediction
|
|
gptkbp:usedIn
|
gptkb:diagnosis
gptkb:artificial_intelligence
computer vision
ecology
epidemiology
finance
natural language processing
robotics
speech recognition
statistics
weather prediction
bioinformatics
forensic science
risk analysis
fraud detection
systems biology
data mining
recommender systems
spam filtering
credit scoring
fault diagnosis
gene regulatory network modeling
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|
gptkbp:uses
|
gptkb:directed_acyclic_graph
|
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gptkbp:bfsParent
|
gptkb:Bayesian_Network
|
|
gptkbp:bfsLayer
|
8
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
Bayesian belief network
|