Refined Error Bounds for Several Learning Algorithms.
Steve HannekePublished in: J. Mach. Learn. Res. (2016)
Keyphrases
- error bounds
- learning algorithm
- theoretical analysis
- machine learning algorithms
- worst case
- learning problems
- machine learning
- training data
- learning scheme
- active learning
- supervised learning
- sample complexity
- back propagation
- decision tree learning
- generalization ability
- neural network
- learning tasks
- integrity constraints
- transfer learning
- np hard
- learning process
- finite sample