Minimal Sample Size in the Group Classification Problem.
Waldemar WolynskiPublished in: J. Classif. (2005)
Keyphrases
- sample size
- small sample size
- model selection
- small sample
- small samples
- statistical tests
- random sampling
- machine learning
- decision trees
- upper bound
- cross validation
- number of training samples
- experimental design
- text classification
- vc dimension
- classification accuracy
- training set
- progressive sampling
- statistical power
- feature extraction
- support vector
- support vector machine
- class labels
- training samples
- active learning
- generalization error
- confidence intervals
- covariance matrix
- statistically significant
- pac learning
- lower bound
- data mining
- variance reduction
- feature selection
- statistical hypothesis testing