Support Vector Machines, Data Reduction, and Approximate Kernel Matrices.
XuanLong NguyenLing HuangAnthony D. JosephPublished in: ECML/PKDD (2) (2008)
Keyphrases
- data reduction
- kernel matrices
- support vector
- kernel function
- kernel methods
- learning machines
- classification accuracy
- feature selection
- data compression
- kernel matrix
- generalization bounds
- model selection
- support vector machine
- low rank
- support vectors
- preprocessing
- feature space
- data analysis
- support vector regression
- rough set theory
- singular value decomposition
- reproducing kernel hilbert space
- classification rules
- input space
- knowledge discovery
- machine learning
- multiple kernel learning
- kernel learning
- data mining
- linear combination
- dimensionality reduction
- multi class
- hyperplane
- feature set
- pattern recognition
- clustering algorithm