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Polynomial kernel

In machine learning, the polynomial kernel is a kernel function commonly used with support vector machines (SVMs) and other kernelized models, that represents the similarity of vectors (training samples) in a feature space over polynomials of the original variables, allowing learning of non-linear models.

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Practical use

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Polynomial kernel

Nodes20
Edges19
Triples9
Avg. degree1.9
Density0.1
Components1

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Polynomial kernel

Top relations

related to Practical use · 6
Polynomial kernel → Although, NLP, RBF, SVM, The, Various
related to Definition · 2
Polynomial kernel → For, When
is a · 1
Polynomial kernel → kernel function commonly used with support vector machines

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Important terminology

kernel polynomial feature features space vectors training samples input regression similarity combinations displaystyle commonly support polynomials non-linear given conjunctions kernelized

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
Polynomial kernelis akernel function commonly used with support vector machines0.90text
Polynomial kernelrelated to DefinitionFor0.60section
Polynomial kernelrelated to DefinitionWhen0.60section
Polynomial kernelrelated to Practical useAlthough0.60section
Polynomial kernelrelated to Practical useRBF0.60section
Polynomial kernelrelated to Practical useSVM0.60section
Polynomial kernelrelated to Practical useNLP0.60section
Polynomial kernelrelated to Practical useThe0.60section
Polynomial kernelrelated to Practical useVarious0.60section

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