Bounding Random Test Set Size with Computational Learning Theory.
Neil WalkinshawMichael FosterJosé Miguel RojasRobert M. HieronsPublished in: Proc. ACM Softw. Eng. (2024)
Keyphrases
- test set
- computational learning theory
- learning theory
- error rate
- pac learning
- training set
- training data
- learning problems
- random selection
- test data
- information theoretic
- evaluation methodology
- upper bound
- uniform distribution
- database
- mutual information
- object detection
- sample size
- image registration
- reinforcement learning
- image processing