Decorrelation of the True and Estimated Classifier Errors in High-Dimensional Settings.
Blaise HanczarJianping HuaEdward R. DoughertyPublished in: EURASIP J. Bioinform. Syst. Biol. (2007)
Keyphrases
- parameter space
- high dimensional
- feature space
- expected error
- training samples
- false negative
- training data
- classifier systems
- feature selection
- small sample
- low dimensional
- feature set
- training set
- support vector
- estimation error
- nearest neighbor
- sparse data
- classification rate
- dimensionality reduction
- class labels
- decision trees
- high dimensionality
- multiple classifiers
- classification method
- neural network
- input data
- microarray data
- metric space
- independent component analysis
- classification scheme
- learning classifier systems
- classification algorithm
- training examples
- learning phase
- multi dimensional
- error detection
- data points
- highly discriminative
- pattern recognition
- label noise