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Log probability

In probability theory and computer science, a log probability is simply a logarithm of a probability. The use of log probabilities means representing probabilities on a logarithmic scale ( − ∞ , 0 ] {\displaystyle (-\infty ,0]} , instead of the standard [ 0 , 1 ] {\displaystyle } unit interval.

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Motivation

Representation issues

Basic manipulations

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Log probability

Nodes38
Edges37
Triples14
Avg. degree1.95
Density0.052632
Components1

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Log probability

Top relations

related to Motivation · 12
Log probability → Accuracy, For, Log, Many, Multiplication, Optimization, Representing, Simplicity, Since, Speed, Taking, The

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Important terminology

log probabilities displaystyle probability addition logarithm function infty since right theory x' one multiplication negative often used information independent events

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
probabilityinstance ofand concavity of the objective function plays a key role in the maximization of a function0.80text
optimizers work better with log probabilitiesinstance ofand concavity of the objective function plays a key role in the maximization of a function0.80text
Log probabilityrelated to MotivationRepresenting0.60section
Log probabilityrelated to MotivationSpeed0.60section
Log probabilityrelated to MotivationSince0.60section
Log probabilityrelated to MotivationThe0.60section
Log probabilityrelated to MotivationMultiplication0.60section
Log probabilityrelated to MotivationAccuracy0.60section
Log probabilityrelated to MotivationSimplicity0.60section
Log probabilityrelated to MotivationMany0.60section
Log probabilityrelated to MotivationTaking0.60section
Log probabilityrelated to MotivationFor0.60section

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