Optimal Quantum Sample Complexity of Learning Algorithms.
Srinivasan ArunachalamRonald de WolfPublished in: CoRR (2016)
Keyphrases
- sample complexity
- learning algorithm
- learning problems
- theoretical analysis
- supervised learning
- upper bound
- active learning
- pac learning
- generalization error
- vc dimension
- special case
- lower bound
- machine learning algorithms
- training examples
- linear threshold
- training data
- sample size
- learning tasks
- concept classes
- worst case
- dynamic programming
- average case
- machine learning
- irrelevant features
- pac model
- objective function
- decision trees
- noise model
- concept class
- uniform convergence
- data sets