Relative error bounds for statistical classifiers based on the f-divergence.
Markus Nußbaum-ThomEugen BeckTamer AlkhouliRalf SchlüterHermann NeyPublished in: INTERSPEECH (2013)
Keyphrases
- error bounds
- theoretical analysis
- worst case
- decision trees
- test set
- statistical analysis
- training set
- support vector
- information theoretic
- training data
- polynomial time approximation
- training samples
- statistical models
- finite sample
- statistical tests
- supervised classification
- machine learning algorithms
- machine learning
- statistical methods
- classification models
- linear classifiers