A Note on High-Probability versus In-Expectation Guarantees of Generalization Bounds in Machine Learning.
Alexander MeyPublished in: CoRR (2020)
Keyphrases
- generalization bounds
- machine learning
- statistical learning theory
- learning problems
- learning theory
- model selection
- data dependent
- learning machines
- convex combinations
- generalization ability
- pattern recognition
- machine learning algorithms
- neural network
- linear classifiers
- vc dimension
- decision trees
- support vector machine
- feature selection
- learning algorithm
- text mining
- semi supervised learning
- unsupervised learning
- document retrieval
- machine learning methods
- active learning
- text classification
- supervised classification
- support vector
- uniform convergence