Improved Support Vector Machine Generalization Using Normalized Input Space.
Shawkat AliKate Amanda Smith-MilesPublished in: Australian Conference on Artificial Intelligence (2006)
Keyphrases
- semi supervised
- input space
- support vector machine
- kernel function
- hyperplane
- feature space
- k nearest neighbor
- svm classifier
- training set
- dimensionality reduction
- support vectors
- knn
- low dimensional
- high dimensional
- input data
- support vector
- regression problems
- manifold learning
- high dimensional feature space
- data points
- receptive fields
- decision boundary
- linearly separable
- output space
- input patterns
- learning machines
- support vector machine svm
- high dimensional data
- multi class
- decision trees
- class labels
- machine learning
- principal component analysis
- feature selection