scholarly journals Polynomial Kernels for Weighted Problems

2015 ◽  
pp. 287-298 ◽  
Author(s):  
Michael Etscheid ◽  
Stefan Kratsch ◽  
Matthias Mnich ◽  
Heiko Röglin
Keyword(s):  
Polynomial Kernels

Inversion of a class of transforms with a difference kernel

1969 ◽  
Vol 65 (3) ◽  
pp. 673-677
Author(s):  
V. K. Varma
Keyword(s):  
Integral Equations ◽  
Laguerre Polynomial ◽  
Difference Kernel ◽  
Polynomial Kernels

1. Recently Ta li(10) Buschman(2, 3), Erdelyi(4) and Shrivastava(8, 9) obtained solutions of integral equations involving polynomial kernels in the range of integration x to 1. Widder(12) obtained an inversion of a convolution transform with a Laguerre polynomial as kernel.

Polynomial Kernels for Vertex Cover Parameterized by Small Degree Modulators

2018 ◽  
Vol 62 (8) ◽  
pp. 1910-1951 ◽  
Author(s):  
Diptapriyo Majumdar ◽  
Venkatesh Raman ◽  
Saket Saurabh
Keyword(s):  
Vertex Cover ◽  
Small Degree ◽  
Polynomial Kernels

REGULARIZED LEAST SQUARE REGRESSION WITH SPHERICAL POLYNOMIAL KERNELS

2009 ◽  
Vol 07 (06) ◽  
pp. 781-801 ◽  
Author(s):  
LUOQING LI
Keyword(s):  
Theoretical Analysis ◽  
Integral Operators ◽  
Excess Risk ◽  
Least Square ◽  
Least Square Regression ◽  
Learning Rates ◽  
Explicit Bounds ◽  
Spherical Polynomial ◽  
Polynomial Kernels

This article considers regularized least square regression on the sphere. It develops a theoretical analysis of the generalization performances of regularized least square regression algorithm with spherical polynomial kernels. The explicit bounds are derived for the excess risk error. The learning rates depend on the eigenvalues of spherical polynomial integral operators and on the dimension of spherical polynomial spaces.

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