Sensing-Aware Kernel SVM.
Weicong DingPrakash IshwarVenkatesh SaligramaW. Clem KarlPublished in: CoRR (2013)
Keyphrases
- support vector
- kernel function
- kernel methods
- kernel space
- kernel parameters
- rbf kernel
- support vector machine svm
- kernel machines
- svm classifier
- svm classification
- polynomial kernels
- support vector machine
- feature space
- multiple kernel learning
- decision function
- support vectors
- least squares support vector machine
- string kernels
- ls svm
- feature selection
- radial basis function
- histogram intersection kernel
- standard svm
- knn
- kernel ridge regression
- gaussian kernel
- kernel matrix
- sparse kernel
- maximum margin
- tree kernels
- sensor networks
- multiple kernel
- hyperplane
- machine learning
- kernel learning
- reproducing kernel hilbert space
- learning machines
- generalization ability
- real time
- training process
- input space
- kernel pca
- feature vectors
- high dimensional
- relevance vector machine
- kernel support vector machines
- mercer kernel
- training set
- classification and regression problems
- optimal kernel
- logistic regression
- support vector regression
- binary classification
- positive definite