Randomized learning: Generalization performance of old and new theoretically grounded algorithms.
Luca OnetoFrancesca CipolliniSandro RidellaDavide AnguitaPublished in: Neurocomputing (2018)
Keyphrases
- learning algorithm
- learning process
- theoretically sound
- learning systems
- efficient learning
- prior knowledge
- noise tolerant
- learning models
- orders of magnitude
- reinforcement learning
- computational cost
- significant improvement
- computationally efficient
- computational complexity
- machine learning
- benchmark datasets
- data structure
- learning tasks
- learning problems
- explanation based generalization
- winnow algorithm
- generalization bounds
- inductive inference
- inductive learning
- background knowledge
- machine learning algorithms
- theoretical analysis
- optimization problems
- supervised learning
- learning environment
- objective function