Instance-Based Classifiers Dealing with Ambiguous Attributes and Class Labels.
Hans HollandMiroslav KubatJan ZizkaPublished in: FLAIRS Conference (2007)
Keyphrases
- class labels
- training data
- classification algorithm
- class membership
- classification error
- training examples
- supervised learning
- labeled data
- feature set
- training set
- knn
- class distribution
- class probabilities
- multi label
- input features
- unseen data
- decision boundary
- base classifiers
- unlabeled data
- active learning
- image processing
- data mining
- decision trees
- learning algorithm
- machine learning