Learning Static Parallel Portfolios of Algorithms.
Marek PetrikShlomo ZilbersteinPublished in: AI&M (2006)
Keyphrases
- learning algorithm
- noise tolerant
- learning problems
- reinforcement learning
- data structure
- learning process
- machine learning algorithms
- theoretical analysis
- automatically learned
- parallel implementations
- depth first search
- knowledge acquisition
- optimization problems
- active learning
- computational complexity
- benchmark datasets
- learning systems
- orders of magnitude
- background knowledge
- times faster
- computational cost
- massively parallel
- learned models
- parallel architectures
- prior knowledge
- genetic algorithm