Predicting the benefit of sample size extension in multiclass k-NN classification.
Christian KierTil AachPublished in: ICPR (3) (2006)
Keyphrases
- multi class
- knn
- sample size
- support vector machine
- k nearest neighbor
- k nearest neighbour
- multiclass classification
- feature selection
- multiclass problems
- classification algorithm
- model selection
- binary classifiers
- support vector machine svm
- nearest neighbor
- multiclass support vector machines
- multiple classes
- cost sensitive
- text classification
- text categorization
- binary classification problems
- binary classification
- svm classifier
- error correcting output codes
- nearest neighbour
- upper bound
- support vector
- pairwise
- random sampling
- pattern classification
- pac learning
- worst case
- decision boundary
- hyperplane
- machine learning
- hyperparameters
- input space
- radial basis function
- training set
- cross validation
- decision trees
- classification accuracy
- generalization ability
- supervised learning
- vc dimension
- machine learning algorithms
- similarity measure
- face recognition
- kernel function
- feature vectors
- neural network