Out-of-Sample Error Estimation: The Blessing of High Dimensionality.
Luca OnetoAlessandro GhioSandro RidellaJorge Luis Reyes-OrtizDavide AnguitaPublished in: ICDM Workshops (2014)
Keyphrases
- high dimensionality
- error estimation
- high dimensional
- model selection
- feature space
- feature selection
- high dimensional data
- dimensionality reduction
- small sample size
- error estimates
- microarray
- gene expression data
- dimension reduction
- data dimensionality
- generalization error
- class imbalance
- feature selection and classification
- noisy data
- support vector machine
- high dimensional spaces
- highly correlated
- high dimensional datasets
- microarray data
- gene expression
- data sets
- redundant features
- small number of samples
- feature ranking
- subspace clustering
- similarity search
- low dimensional
- semi supervised
- image data
- neural network