Coverage optimized active learning for k - NN classifiers.
Ajay J. JoshiFatih PorikliNikolaos PapanikolopoulosPublished in: ICRA (2012)
Keyphrases
- knn
- k nearest neighbour
- active learning
- k nearest neighbor
- voting methods
- classification algorithm
- majority voting
- nearest neighbor
- training examples
- feature selection
- nearest neighbor algorithm
- nearest neighbour
- text categorization
- training set
- distance function
- learning algorithm
- training data
- support vector machine
- neural network
- bayesian network classifiers
- decision trees
- supervised learning
- naive bayes
- support vector machine svm
- labeled data
- training samples
- bayes error
- similarity search
- semi supervised
- transfer learning
- semi supervised learning
- test instances
- k nearest
- classifier combination
- cost sensitive
- support vector
- decision boundary
- information gain
- class labels
- text classification
- unlabeled data