Mutual information

GPTKB entity

Statements (50)
Predicate Object
gptkbp:instanceOf Information theory concept
gptkbp:application Natural language processing
Neuroscience
Genomics
Clustering
Feature selection
Image registration
gptkbp:describes Dependence between random variables
gptkbp:field Information theory
Statistics
Machine learning
gptkbp:form I(X;Y) = H(X) + H(Y) - H(X,Y)
I(X;Y) = H(X) - H(X|Y)
I(X;Y) = H(Y) - H(Y|X)
gptkbp:generalizes Conditional mutual information
Multivariate mutual information
Normalized mutual information
gptkbp:hasUnit gptkb:nun
gptkb:Bit
https://www.w3.org/2000/01/rdf-schema#label Mutual information
gptkbp:introduced gptkb:Claude_Shannon
gptkbp:measures Amount of information shared between variables
gptkbp:property Symmetric
Non-negative
Zero if variables are independent
gptkbp:relatedTo gptkb:Kullback–Leibler_divergence
Entropy
Conditional entropy
gptkbp:symbol I(X;Y)
gptkbp:usedIn gptkb:signal_processing
gptkb:Bioinformatics
gptkb:Systems_biology
Time series analysis
Speech recognition
Cryptography
Data visualization
Deep learning
Medical imaging
Data mining
Reinforcement learning
Econometrics
Data compression
Causal inference
Pattern recognition
Statistical inference
Network analysis
Text mining
Communication theory
gptkbp:bfsParent gptkb:Information_Theory
gptkbp:bfsLayer 5