About the sensitivity of ordinal classifiers to non-monotone noise.
Irena MilsteinArie Ben-DavidRob PotharstPublished in: Artif. Intell. Res. (2015)
Keyphrases
- noise immunity
- noise level
- signal to noise ratio
- linear classifiers
- support vector
- training data
- training set
- decision trees
- noise reduction
- noisy data
- random noise
- sensitivity analysis
- neural network
- naive bayes
- high sensitivity
- multiple classifiers
- training samples
- extracted features
- upper bound
- image noise
- noise model
- feature selection
- bayesian classifier
- ensemble classifier
- classification systems
- supervised classification
- classification algorithm
- missing data
- multi class
- data streams