KLD

GPTKB entity

Statements (28)
Predicate Object
gptkbp:instanceOf statistical analysis
gptkbp:alsoKnownAs relative entropy
gptkbp:describes difference between two probability distributions
gptkbp:field gptkb:information_theory
gptkb:machine_learning
statistics
gptkbp:form D_{KL}(P||Q) = \\sum_i P(i) \\log \\frac{P(i)}{Q(i)}
gptkbp:fullName gptkb:Kullback–Leibler_divergence
gptkbp:hasUnit bits
nats
https://www.w3.org/2000/01/rdf-schema#label KLD
gptkbp:includesMetric false
gptkbp:introduced gptkb:Richard_Leibler
gptkb:Solomon_Kullback
gptkbp:introducedIn 1951
gptkbp:isAsymmetric true
gptkbp:minValue 0
gptkbp:minValueCondition P = Q
gptkbp:relatedTo gptkb:organization
gptkb:Jensen-Shannon_divergence
cross-entropy
gptkbp:usedFor feature selection
model selection
variational inference
measuring information loss
distribution comparison
gptkbp:bfsParent gptkb:Kaladesh
gptkbp:bfsLayer 6