Efficient training techniques for classification with vast input space.
Emad W. SaadJai J. ChoiJohn L. VianDonald C. WunschPublished in: IJCNN (1999)
Keyphrases
- input space
- training set
- feature space
- class labels
- training samples
- regression problems
- linearly separable
- classification accuracy
- dimensionality reduction
- output space
- training process
- high dimensional feature space
- hyperplane
- supervised learning
- high dimensional
- support vector machine
- kernel function
- input data
- low dimensional
- feature selection
- training data
- decision trees
- decision boundary
- training examples
- machine learning
- input patterns
- feature extraction
- active learning
- high dimensional data
- multi layer perceptron
- support vectors
- support vector
- pattern recognition
- training dataset
- cross validation
- feature vectors
- data points
- small number
- pattern classification
- kernel matrix
- k nearest neighbor
- image data
- data mining
- feature set
- knn