Support Vector Machine to Synthesise Kernels.
Hongying MengJohn Shawe-TaylorSándor SzedmákJason D. R. FarquharPublished in: Deterministic and Statistical Methods in Machine Learning (2004)
Keyphrases
- support vector machine
- kernel function
- kernel methods
- svm classification
- support vector
- multiple kernel
- gaussian kernel
- feature space
- polynomial kernels
- svm classifier
- support vector machines for classification
- multi class
- rbf kernel
- support vector machine svm
- string kernels
- k nearest neighbor
- multiple kernel learning
- feature vectors
- tree kernels
- decision boundary
- training set
- high classification accuracy
- machine learning
- feature selection
- wavelet kernel
- nonlinear kernel
- statistical learning theory
- maximum margin
- kernel learning
- reproducing kernel hilbert space
- neural network
- knn
- generalization ability
- kernel matrix
- lp norm
- linear combination
- hyperplane
- soft margin
- gaussian kernels
- learning machines
- kernel principal component analysis
- small sample
- histogram intersection kernel
- multi class support vector machines
- classification accuracy
- logistic regression
- input space
- linear svm
- positive definite
- graph kernels
- kernel machines