Estimation of classification probabilities in small domains accounting for nonresponse relying on imprecise probability.
Aziz OmarThomas AugustinPublished in: Int. J. Approx. Reason. (2019)
Keyphrases
- probability distribution
- pattern recognition
- conditional probabilities
- class membership
- density estimation
- preprocessing
- classification accuracy
- small number
- probability estimates
- support vector
- probability theory
- supervised learning
- automatic classification
- classification scheme
- classification algorithm
- prior probabilities
- feature vectors
- feature extraction
- class membership probabilities
- decision trees
- classification systems
- probability values
- belief networks
- classification method
- real world
- classification models
- cost sensitive
- cross domain
- posterior probability
- benchmark datasets
- machine learning algorithms
- support vector machine svm
- feature set
- support vector machine
- sufficient training data
- occurrence probability
- maximum likelihood criterion