Effects of Sample Size in Classifier Design.
Keinosuke FukunagaRaymond R. HayesPublished in: IEEE Trans. Pattern Anal. Mach. Intell. (1989)
Keyphrases
- sample size
- small sample
- upper bound
- model selection
- experimental design
- random sampling
- small samples
- feature selection
- generalization error
- covariance matrix
- special case
- training data
- worst case
- dimensionality reduction
- semi supervised
- np hard
- classification algorithm
- statistical tests
- association rules
- feature space
- roc curve
- confidence intervals
- data structure
- small sample size
- decision trees