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/289488/8548352
m semipregex1.m
% comparing different settings of semiparametric
% regularization
%
% sin +gaussian
% wavelet
% wavelet + gaussian
% sinc + sin
%
% function to be approximated : sin(x) + sinc(x-5)+s
www.eeworm.com/read/289488/8548358
m exmulticlassall2.m
%
%
% example of multiclass SVM using M-SVM
% with assymetric penalizarion Coefficient C
%
% 06/01/2003 Alain Rakotomamonjy
close all
clear all
%--------------------------------
www.eeworm.com/read/289488/8548381
m exregrn.m
%
% Example of Checker Data
% classification with regularization networks
%
%
clear all
close all
%-------------------------------------------------------------------
%
www.eeworm.com/read/289488/8548389
m exsvmroc2.m
function exsvmroc2(data,margin,kppv,Cvec,kerneloptionvec);
%
% code for big cross-validation procedure for
% SVM-ROC on real data.
%
%
% 30/07/2004 A. Rakotomamonjy
% clear all
% close all
% d
www.eeworm.com/read/289488/8548401
m exroccurvemodelsel.m
%function exroccurvemodelsel(data);
%
% Model Selection script of SVM-L2 ROC curve maximization
% with regards to different criterion such as AUC, Accuraccy
% precision or Fmeas
% 30/07/2004 A. Rak
www.eeworm.com/read/289487/8548473
m rnval.m
function y=rnval(xapp,xtest,kernel,kerneloption,c,d, T);
% USAGE
% y=rnval(xapp,xtest,kernel,kerneloption,c,d,T);
%
% y= K*c+ T*d
% calculates the output y of a Regularization netwo
www.eeworm.com/read/289487/8548555
m multiplekernel.m
function K=multiplekernel(x,kernel,kerneloptionvec,xapp,solution);
%
% USAGE
%
% K=multiplekernel(x,kernel,kerneloptionvec,xapp,solution);
%
% process the kernel K(x,xapp). If solution is prov
www.eeworm.com/read/289487/8548567
m testhingelar.m
clear all;
close all;
randn('seed',2);
rand('seed',2);
tol_cor = 1e-3;
tol_diff_corA = 1e-3;
sigma = 2;
nbapp = 200;
nbtest = 3;
ngrid = 50;
[xapp,yapp,xtest,ytest]=datas
www.eeworm.com/read/289487/8548594
m svmmultival.m
function [ypred,maxi,ypredMat]=svmmultival(x,xsup,w,b,nbsv,kernel,kerneloption)
% USAGE ypred=svmmultival(x,xsup,w,b,nbsv,kernel,kerneloption)
%
% Process the class of a new point x of a one-aga
www.eeworm.com/read/289487/8548600
m featselregr2w2.m
function [RankedVariables,values]=FeatSelregr2w2(x,y,c,epsilon,kernel,kerneloption,verbose,FeatSeloption)
% Usage
%
% [RankedVariables,values]=FeatSelregr2w2(x,y,c,epsilon,kernel,kerneloption,