Statements (40)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
Machine Learning Technique
|
| gptkbp:advantage |
Computationally Intensive
Choice of Kernel Critical Handle Nonlinear Data Implicit Feature Mapping |
| gptkbp:application |
gptkb:Pattern_Recognition
Regression Classification Dimensionality Reduction |
| gptkbp:dependsOn |
Kernel Function
|
| gptkbp:developedBy |
1990s
|
| gptkbp:enables |
Nonlinear Feature Mapping
|
| gptkbp:form |
Inner Product
Positive Semi-definite Matrix |
| https://www.w3.org/2000/01/rdf-schema#label |
Kernel Methods
|
| gptkbp:notableContributor |
gptkb:Bernhard_Schölkopf
gptkb:Alex_Smola gptkb:Vladimir_Vapnik |
| gptkbp:popularKernel |
Linear Kernel
Polynomial Kernel Radial Basis Function Kernel Sigmoid Kernel |
| gptkbp:relatedTo |
Reproducing Kernel Hilbert Space
Feature Space Mercer's Theorem |
| gptkbp:usedIn |
gptkb:Kernel_Principal_Component_Analysis
gptkb:Kernel_Density_Estimation gptkb:Support_Vector_Machines Gaussian Processes Principal Component Analysis Clustering Kernel Canonical Correlation Analysis Kernel Fisher Discriminant Analysis Kernel K-means Kernel Logistic Regression Kernel Perceptron Kernel Ridge Regression Kernel SVM |
| gptkbp:bfsParent |
gptkb:Support_Vector_Classification
|
| gptkbp:bfsLayer |
7
|