Improvement of the Parzen classifier in small training sample size situations.
Yoshihiko MutoYoshihiko HamamotoPublished in: Intell. Data Anal. (2001)
Keyphrases
- sample size
- small sample
- number of training samples
- training set
- training samples
- random sampling
- model selection
- training process
- random sample
- small sample size
- upper bound
- covariance matrix
- training examples
- small samples
- pac learning
- support vector machine
- statistical hypothesis testing
- training data
- vc dimension
- probabilistic neural network
- feature selection
- progressive sampling
- statistical power
- generalization error
- feature space
- decision trees
- experimental design
- confidence intervals
- worst case
- classification algorithm
- knn