Information Gain and Uniform Generalization Bounds for Neural Kernel Models.
Sattar VakiliMichael BrombergJezabel R. GarciaDa-Shan ShiuAlberto BernacchiaPublished in: ISIT (2023)
Keyphrases
- information gain
- generalization bounds
- feature selection
- decision trees
- model selection
- text categorization
- probabilistic model
- mutual information
- data dependent
- kernel machines
- support vector
- active learning
- generalization ability
- neural network
- classification accuracy
- correlation coefficient
- linear classifiers
- statistical learning theory