代码搜索：kernel
找到约 10,000 项符合「kernel」的源代码
代码结果 10,000
www.eeworm.com/read/289487/8548775
m featselmargdif.m
function [RankedVariables,nbsvvec,Values]=FeatSelmargdif(x,y,c,kernel,kerneloption,verbose,span,FeatSeloption)
% Usage
%
% [RankedVariables,nbsvvec,Values]=FeatSelmargdif(x,y,c,kernel,kernelo
www.eeworm.com/read/289487/8548779
m featselkernelderivative.m
function [kernelderiv_1,kernelderiv_2]=featselkernelderivative(k,x_k,kernel,kerneloption,method,x)
%
% Process the kernel derivative with regards to variable k
%
% k is an already process
www.eeworm.com/read/289487/8548782
m featselr2w2diff.m
function [RankedVariables,nbsvvec,Values]=FeatSelr2w2(x,y,c,kernel,kerneloption,verbose,span,FeatSeloption)
% Usage
%
% [RankedVariables,nbsvvec,Values]=FeatSelr2w2(x,y,c,kernel,kerneloption,v
www.eeworm.com/read/289487/8548787
m featselr2w2.m
function [RankedVariables,values]=FeatSelr2w2(x,y,c,kernel,kerneloption,verbose,span,FeatSeloption)
% Usage
%
% [RankedVariables,values]=FeatSelr2w2(x,y,c,kernel,kerneloption,verbose,span,Fea
www.eeworm.com/read/289487/8548791
m featselmargin.m
function [RankedVariables,nbsv,values]=FeatSelmargin(x,y,c,kernel,kerneloption,verbose,span,FeatSeloption)
% Usage
%
% [RankedVariables,nbsv,values]=FeatSelmargin(x,y,c,kernel,kerneloption,verb
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m kernelpcaproj.m
function feature=kernelpcaproj(xpca,xtest,eigvect,kernel,kerneloption,eigvectind);
%
%
%
%
%
%
nxpca=size(xpca,1);
nxtest=size(xtest,1);
Ktest=svmkernel(xtest,kernel,kerneloption,xpca);
www.eeworm.com/read/289487/8548802
m svmclassls.m
function [xsup,w,b,pos,timeps,alpha,status,cost]=svmclassLS(x,y,c,lambda,kernel,kerneloption,verbose,span,qpsize,chunksize,alphainit)
%
% [xsup,w,b,pos,timeps,alpha,status,cost]]=svmclassLS(x,y
www.eeworm.com/read/289487/8548807
m lpsvmreg.m
function [xsup,ysup,w,b,pos]=LPsvmreg(xapp,yapp,C,epsilon,lambda,kernel,kerneloption,verbose)
% USAGE
%
% [xsup,w,b,pos]=LPsvmclass(xapp,yapp,C,epsilon,lambda,kernel,kerneloption,verbose)
www.eeworm.com/read/289487/8548856
m svmmulticlassoneagainstall.m
function [xsup,w,b,nbsv,pos,obj]=svmmulticlass(x,y,nbclass,c,epsilon,kernel,kerneloption,verbose,warmstart);
% USAGE [xsup,w,b,nbsv,pos,obj]=svmmulticlass(x,y,nbclass,c,epsilon,kernel,kerneloption,
www.eeworm.com/read/188280/8552165
m rbf.m
function ker = rbf(arg)
% RBF
%
% Construct a Gaussian radial basis function (RBF) kernel object,
%
% K(x1, x2) = exp(-gamma.*sum((x1 - x2).^2))
%
% Examples:
%
% % default constructo