Polynomial kernel
id:
polynomial-kernel-185-17813770
title:
Polynomial kernel
text:
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 in a feature space over polynomials of the original variables, allowing learning of non-linear models. Intuitively, the polynomial kernel looks not only at the given features of input samples to determine their similarity, but also combinations of these. In the context of regression analysis, such combinations are
brand slug:
wiki
category slug:
encyclopedia
description:
Machine learning kernel function
original url:
https://en.wikipedia.org/wiki/Polynomial_kernel
date created:
2012-11-12T15:28:44Z
date modified:
2024-09-07T20:07:57Z
main entity:
{"identifier":"Q7226642","url":"https://www.wikidata.org/entity/Q7226642"}
image:
{"content_url":"https://upload.wikimedia.org/wikipedia/commons/b/b1/Svm_8_polinomial.JPG","width":523,"height":303}
fields total:
13
integrity:
16