Limits to classification performance by relating Kullback-Leibler divergence to Cohen's Kappa.
L. CrowS. J. WattsPublished in: CoRR (2024)
Keyphrases
- kullback leibler divergence
- information theoretic
- distance measure
- mutual information
- feature vectors
- machine learning
- probability density function
- kl divergence
- class labels
- multiresolution
- training set
- feature extraction
- feature selection
- supervised learning
- markov random field
- probabilistic model
- mr images
- decision trees