Classification methods for random utility models with i.i.d. disturbances under the most probable alternative rule.
Nicholas KalouptsidisKonstantinos KoutroumbasV. PsarakiPublished in: Eur. J. Oper. Res. (2007)
Keyphrases
- classification models
- machine learning methods
- statistical models
- benchmark datasets
- machine learning algorithms
- machine learning approaches
- classification method
- cross validation
- preprocessing
- accurate classification
- classification rules
- classification schemes
- density estimation
- learning models
- machine learning
- mathematical models
- classification systems
- rule learning
- robust classification
- neural networks and support vector machines
- statistical methods
- supervised learning
- association rules
- pattern recognition
- utility function
- support vector machine svm
- text classification
- classification accuracy
- active learning
- feature vectors
- terms of classification accuracy
- decision trees
- data sets