A General Model for Finite-Sample Effects in Training and Testing of Competing Classifiers.
Sergey V. BeidenMarcus A. MaloofRobert F. WagnerPublished in: IEEE Trans. Pattern Anal. Mach. Intell. (2003)
Keyphrases
- finite sample
- test set
- training set
- sample size
- uniform convergence
- statistical learning theory
- nearest neighbor
- training samples
- training examples
- training data
- supervised classification
- decision trees
- test data
- error bounds
- generalization bounds
- supervised learning
- support vector
- data sets
- linear classifiers
- generalization error
- machine learning
- reproducing kernel hilbert space
- neural network
- svm classifier
- machine learning algorithms
- class labels
- model selection
- gaussian kernels
- parzen window
- multi class
- feature space