Introducing an Improved Information-Theoretic Measure of Predictive Uncertainty.
Kajetan SchweighoferLukas AichbergerMykyta IelanskyiSepp HochreiterPublished in: CoRR (2023)
Keyphrases
- information theoretic
- information theory
- information theoretic measures
- jensen shannon divergence
- mutual information
- entropy measure
- kullback leibler divergence
- theoretic framework
- relative entropy
- kl divergence
- jensen shannon
- shannon entropy
- log likelihood
- information bottleneck
- similarity measure
- multi modality
- minimum description length
- distance measure
- computational learning theory
- probability measures
- bayesian networks
- feature selection
- image analysis