Keyphrases
- support vector machine
- neyman pearson
- svm classifier
- support vector
- multi class
- machine learning
- feature selection
- hyperplane
- training data
- multi class support vector machines
- generalization ability
- support vector machine svm
- least squares
- risk minimization
- kernel methods
- k nearest neighbor
- kernel function
- svm classification
- training set
- stock market prediction
- regularization method
- soft margin
- support vector regression
- optimal parameters
- fisher criterion
- total least squares
- linear discriminant
- database
- real time
- feature vectors
- reduced set
- maximum margin
- decision boundary
- neural network
- genetic algorithm
- pattern recognition
- artificial neural networks