Leveraging k-NN for generic classification boosting.
Paolo PiroRichard NockFrank NielsenMichel BarlaudPublished in: Neurocomputing (2012)
Keyphrases
- knn
- k nearest neighbour
- k nearest neighbor
- classification algorithm
- support vector machine svm
- feature selection
- majority voting
- nearest neighbor
- support vector machine
- text classification
- web document classification
- machine learning
- text categorization
- k nearest
- nearest neighbour
- cost sensitive
- similarity search
- graph construction
- classification accuracy
- nearest neighbor algorithm
- training set
- support vector
- probabilistic neural network
- learning vector quantization
- nearest neighborhood
- distance function
- feature space
- feature extraction
- ensemble classifier
- multi layer perceptron
- extracted features
- bayesian network classifiers
- class labels
- mutual information
- dimensionality reduction
- high dimensional