Characterizing sparse preconditioner performance for the support vector machine kernel.
Anirban ChatterjeeKelly FermoylePadma RaghavanPublished in: ICCS (2010)
Keyphrases
- support vector machine
- kernel function
- multiple kernel
- kernel methods
- sparse kernel
- relevance vector machine
- support vector
- kernel matrices
- feature space
- multi class
- svm classification
- polynomial kernels
- kernel matrix
- reduced set
- additive models
- svm classifier
- rbf kernel
- machine learning
- support vector machine svm
- high dimensional
- hyperplane
- feature selection
- sparse data
- k nearest neighbor
- feature vectors
- multiple kernel learning
- reproducing kernel hilbert space
- string kernels
- sparse representation
- iterative methods
- training data
- decision function
- neural network
- regularized least squares
- histogram intersection kernel
- input space
- gaussian kernel
- kernel machines
- kernel learning
- edge preserving
- support vector regression
- low frequency
- positive semi definite
- kernel pca
- ls svm
- sparse matrix
- nonlinear regression
- sparse coding
- radial basis function
- data points
- similarity measure