Stability of Randomized Learning Algorithms.
André ElisseeffTheodoros EvgeniouMassimiliano PontilPublished in: J. Mach. Learn. Res. (2005)
Keyphrases
- learning algorithm
- machine learning algorithms
- active learning
- machine learning
- training data
- learning problems
- randomized algorithms
- unlabeled data
- stability analysis
- learning scheme
- learning tasks
- training examples
- efficient learning
- learning rate
- training samples
- inductive learning algorithms
- deep architectures
- algorithmic stability
- database
- learning paradigms
- decision forest
- back propagation
- upper bound
- real time