A Gradient-Based Metric Learning Algorithm for k-NN Classifiers.
Nayyar Abbas ZaidiDavid McG. SquireDavid SuterPublished in: Australasian Conference on Artificial Intelligence (2010)
Keyphrases
- knn
- classification algorithm
- k nearest neighbour
- k nearest neighbor
- learning algorithm
- voting methods
- distance function
- machine learning algorithms
- training data
- majority voting
- nearest neighbor
- text categorization
- feature selection
- training examples
- nearest neighbour
- nearest neighbor algorithm
- support vector machine svm
- text classification
- metric space
- training samples
- similarity search
- supervised learning
- decision trees
- classifier ensemble
- distance metric
- support vector
- support vector machine
- k nearest
- back propagation
- naive bayes
- active learning
- classification error
- learning scheme
- data sets
- multi layer perceptron
- generalization error
- class labels
- similarity measure
- mutual information
- feature set
- feature vectors
- pairwise