Intrinsic dimensionality and small sample properties of classifiers.
Sarunas RaudysPublished in: Kybernetika (1998)
Keyphrases
- small sample
- intrinsic dimensionality
- sample size
- high dimensional
- support vector machine
- dimensionality reduction
- feature selection
- noisy data
- ls svm
- vector space
- high dimensionality
- neural network
- feature selection algorithms
- probability density
- support vector
- decision trees
- semi supervised
- computer vision
- learning algorithm