Sample size estimation for power and accuracy in the experimental comparison of algorithms.
Felipe CampeloFernanda C. TakahashiPublished in: J. Heuristics (2019)
Keyphrases
- experimental comparison
- sample size
- computational complexity
- statistical power
- progressive sampling
- small samples
- worst case
- model selection
- statistical tests
- variance reduction
- pac learning
- generalization error
- random sampling
- covariance matrix
- machine learning algorithms
- learning algorithm
- data sets
- experimental design
- itemsets
- upper bound
- random sample
- data structure
- objective function
- hypothesis tests