代码搜索：Regularization
找到约 355 项符合「Regularization」的源代码
代码结果 355
www.eeworm.com/read/152779/12085747
m exclassrn.m
%
% Example of Checker Data
% classification with regularization networks
%
%
clear all
close all
%-------------------------------------------------------------------
%
www.eeworm.com/read/152580/12101037
m exclassrn.m
%
% Example of Checker Data
% classification with regularization networks
%
%
clear all
close all
%-------------------------------------------------------------------
%
www.eeworm.com/read/210916/15189945
m tikhonov.m
function [x_lambda,rho,eta] = tikhonov(U,s,V,b,lambda,x_0)
%TIKHONOV Tikhonov regularization.
%
% [x_lambda,rho,eta] = tikhonov(U,s,V,b,lambda,x_0)
% [x_lambda,rho,eta] = tikhonov(U,sm,X,b,lambda,x_0)
www.eeworm.com/read/209231/15225239
m perturbc.m
% PERTURBC - Perturbs the current solution to the solution valid for the
% given regularization parameters.
%
% Syntax: [a,b,g,ind,X_mer,y_mer,Rs,Q] = perturbc(C)
%
% a: alpha c
www.eeworm.com/read/209231/15225243
svn-base svmtrain.m.svn-base
% SVMTRAIN - Trains a support vector machine incrementally
% using the L1 soft margin approach developed by
% Cauwenberghs for two-class problems.
%
% Syntax: [a,b,g,ind,uind,X_m
www.eeworm.com/read/209231/15225255
svn-base perturbc.m.svn-base
% PERTURBC - Perturbs the current solution to the solution valid for the
% given regularization parameters.
%
% Syntax: [a,b,g,ind,X_mer,y_mer,Rs,Q] = perturbc(C)
%
% a: alpha c
www.eeworm.com/read/209231/15225286
m svmtrain.m
% SVMTRAIN - Trains a support vector machine incrementally
% using the L1 soft margin approach developed by
% Cauwenberghs for two-class problems.
%
% Syntax: [a,b,g,ind,uind,X_m
www.eeworm.com/read/471135/6898155
m gcvfctn.m
function g = gcvfctn(h, d, fc2, trS0, dof0)
%GCVFCTN Evaluate object function for generalized cross-validation.
%
% GCVFCTN(h, d, fc2, trS0, dof0) returns the function values of the
% generaliz
www.eeworm.com/read/295595/8151072
m exclassrn.m
%
% Example of Checker Data
% classification with regularization networks
%
%
clear all
close all
%-------------------------------------------------------------------
%
www.eeworm.com/read/161189/10439655
m tikhonov.m
function [x_lambda,rho,eta] = tikhonov(U,s,V,b,lambda,x_0)
%TIKHONOV Tikhonov regularization.
%
% [x_lambda,rho,eta] = tikhonov(U,s,V,b,lambda,x_0)
% [x_lambda,rho,eta] = tikhonov(U,sm,X,b,lambda,