kernel-methods

30 entries in Machine Learning & AI.

• Support vector regressionEpsilon-insensitive lossstandardkernel-methods
• Kernel ridge regressionstandalonestandardkernel-methods
• Kernel logistic regressionstandalonespecialistkernel-methods
• Kernel k-meansFeature-space clusteringstandardkernel-methods
• Kernel perceptronstandalonespecialistkernel-methods
• One-class SVMOrigin-separating hyperplanestandardkernel-methods
• Support vector data descriptionEnclosing hyperspherespecialistkernel-methods
• Relevance vector machineSparse Bayesian kernelsspecialistkernel-methods
• Nystrom approximationLandmark subsamplingstandardkernel-methods
• Random Fourier featuresShift-invariant samplingstandardkernel-methods
• Random binning featuresstandalonespecialistkernel-methods
• Maximum mean discrepancyKernel embedding distancestandardkernel-methods
• Hilbert-Schmidt independence criterionstandalonespecialistkernel-methods
• Kernel canonical correlationstandalonespecialistkernel-methods
• Kernel Fisher discriminantstandalonespecialistkernel-methods
• String kernelSubstring spectrumspecialistkernel-methods
• Spectrum kernelK-mer countsspecialistkernel-methods
• Weisfeiler-Leman graph kernelSubtree relabelingstandardkernel-methods
• Random walk graph kernelstandalonespecialistkernel-methods
• Shortest-path graph kernelstandalonespecialistkernel-methods
• Fisher kernelGenerative-model gradientsspecialistkernel-methods
• Multiple kernel learningConvex kernel combinationspecialistkernel-methods
• Kernel two-sample teststandalonespecialistkernel-methods
• Pre-image reconstructionFixed-point iterationspecialistkernel-methods
• Kernel density classificationParzen windowsstandardkernel-methods
• Least-squares SVMEquality-constraint solvingspecialistkernel-methods
• Core vector machineMinimum enclosing ballspecialistkernel-methods
• PegasosStochastic subgradient SVMstandardkernel-methods
• Kernel mean embeddingstandalonespecialistkernel-methods
• Conditional mean embeddingstandalonespecialistkernel-methods