Category:Kernel methods for machine learning

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Here is a list of articles in the category Kernel methods for machine learning of the Computing portal that unifies foundations of mathematics and computations using computers. This page lists categories and articles related to kernel methods for machine learning.

Subcategories

This category has only the following subcategory.

S

► Support vector machines‎ (12 P)

Pages in category "Kernel methods for machine learning"

The following 17 pages are in this category, out of 17 total.

F

Fisher kernel (computing)

G

Gaussian process (computing)
Gramian matrix (computing)
Graph kernel (computing)

K

Kernel adaptive filter (computing)
Kernel eigenvoice (computing)
Kernel method (computing)
Kernel methods for vector output (computing)
Kernel perceptron (computing)
Kernel principal component analysis (computing)

L

Low-rank matrix approximations (computing)

N

Neural network Gaussian process (computing)
Neural tangent kernel (computing)

P

Polynomial kernel (computing)

R

Radial basis function kernel (computing)
Relevance vector machine (computing)

S

String kernel (computing)

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Machine learning