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/289487/8548653
m svmmulticlass.m
function [xsup,w,b,nbsv,pos,alpha]=svmmulticlass(x,y,nbclass,C,epsilon,kernel,kerneloption,verbose, alphainit)
% USAGE
%[xsup,w,b,nbsv,pos,alpha]=svmmulticlass(x,y,nbclas,C,epsilon,kernel,kernelopt
www.eeworm.com/read/289487/8548666
m kernelknn.m
function [ypred,tabkppv,distance]=kernelknn(xapp,yapp,valY,kernel,kerneloption,X,k)
%
% knn implementation
%
% USE : [ypred,tabkppv,distance]=kernelknn(xapp,yapp,valY,kernel,kerneloption,X,k)
%
% xap
www.eeworm.com/read/289487/8548683
m kernelpca.m
function [eigvect,eigval,Kt]=kernelpca(x,kernel,kerneloption)
% USAGE
% [eigvect,eigval]=kernelpca(x,kernel,kerneloption)
%
% Diagonalizing the covariance matrix in feature space
%
% eigenv
www.eeworm.com/read/289487/8548692
m svmclasslib.m
function [xsup,w,b]=svmclasslib(x,y,C,lambda,kernel,kerneloption,verbose,span)
% USAGE
%
% [xsup,w,b]=svmclasslib(x,y,C,lambda,kernel,kerneloption)
%
% simple interface to SVM LIB code for C-
www.eeworm.com/read/289487/8548698
m svmvallib.m
function ypred=svmvallib(x,xsup,w,b,kernel,kerneloption,span)
% USAGE
%
% ypred=svmvallib(x,xsup,w,b,kernel,kerneloption,span)
%
switch kernel
case 'gaussian'
kernel
www.eeworm.com/read/289487/8548708
m svmoneclass.m
function [xsup,alpha,multiplier,pos,Ksup]=svmoneclass(x,kernel,kerneloption,nu,verbose,alphainit)
% USAGE
%
% [xsup,alpha,rho,pos]=svmoneclass(x,kernel,kerneloption,nu,verbose)
%
% model f(x) =
www.eeworm.com/read/289487/8548721
m svmrocval.m
function ypred=svmrocval(xtest,xsup,w,w0,kernel,kerneloption,span)
% USAGE
%
% ypred=svmrocval(xtest,xsup,w,w0,kernel,kerneloption,span)
%
% process the output of an SVM model that optimize
www.eeworm.com/read/289487/8548759
m svmmultivaloneagainstone.m
function [ypred,vote]=svmmultivaloneagainstone(x,xsup,w,b,nbsv,kernel,kerneloption)
% USAGE [ypred,vote]=svmmultivaloneagainstone(x,xsup,w,b,nbsv,kernel,kerneloption,Sigma)
%
% Process the class
www.eeworm.com/read/289487/8548765
m normalizekernel.m
function K=normalizekernel(x,kernel,kerneloption,xsup);
% K=normalizekernel(x,kernel,kerneloption,xsup);
n=size(x,1);
kdiag1=diag(svmkernel(x,kernel,kerneloption));
if nargin >3
k
www.eeworm.com/read/289487/8548770
m featselmargdif1v1.m
function [RankedVariables,nbsvvec,Values]=FeatSelmargdif1v1(x,y,nbclass,c,kernel,kerneloption,verbose,span,FeatSeloption)
% Usage
%
% [RankedVariables,nbsvvec,Values]=FeatSelmargdif1v1(x,y,nb