When should I stop experimenting? Sample size considerations in I-optimal designs.
Rachel T. SilvestriniRupansh GoantiyaPublished in: Qual. Reliab. Eng. Int. (2019)
Keyphrases
- sample size
- worst case
- random sampling
- model selection
- upper bound
- small sample
- small sample size
- finite sample
- pac learning
- confidence intervals
- progressive sampling
- number of training samples
- covariance matrix
- statistical power
- statistical tests
- vc dimension
- variance reduction
- lower bound
- optimality conditions
- active learning
- random sample
- statistical hypothesis testing
- generalization error
- experimental design
- genetic programming
- feature selection
- data mining