Information-Theoretic Generalization Bounds for Meta-Learning and Applications.
Sharu Theresa JoseOsvaldo SimeonePublished in: Entropy (2021)
Keyphrases
- information theoretic
- meta learning
- generalization bounds
- model selection
- mutual information
- information theory
- data dependent
- learning problems
- learning tasks
- learning theory
- generalization ability
- hyperparameters
- feature selection
- sample size
- machine learning algorithms
- machine learning
- linear classifiers
- inductive learning
- decision trees
- data mining
- vc dimension
- unsupervised learning
- text mining
- support vector
- base classifiers
- text classification
- feature set
- data sets