Classifier Loss Under Metric Uncertainty.
David B. SkalakAlexandru Niculescu-MizilRich CaruanaPublished in: ECML (2007)
Keyphrases
- training data
- classifier systems
- metric space
- support vector
- nearest neighbor classification
- feature selection
- classification process
- training set
- classification scheme
- evaluation metrics
- decision trees
- feature space
- uncertain data
- classification algorithm
- probability measures
- ensemble classifier
- linear classifiers
- machine learning
- euclidean distance
- distance function
- training examples
- distance measure
- learning classifier systems
- feature set
- nearest neighbor
- support vector machine
- genetic algorithm
- neural network