代码搜索:classification
找到约 3,679 项符合「classification」的源代码
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www.eeworm.com/read/281195/10257615
readme
Libsvm is a simple, easy-to-use, and efficient software for SVM
classification and regression. It can solve C-SVM classification,
nu-SVM classification, one-class-SVM, epsilon-SVM regression, and
nu-S
www.eeworm.com/read/280576/10313011
m softmargin.m
function y = softmargin(x)
%SOFTMARGIN Support Vector Classification Softmargin
%
% Usage: y = softmargin(x)
%
% Author: Steve Gunn (srg@ecs.soton.ac.uk)
if (nargin ~= 1) % check correct number o
www.eeworm.com/read/354741/10329366
m softmargin.m
function y = softmargin(x)
%SOFTMARGIN Support Vector Classification Softmargin
%
% Usage: y = softmargin(x)
%
% Author: Steve Gunn (srg@ecs.soton.ac.uk)
if (nargin ~= 1) % check correct number o
www.eeworm.com/read/354741/10329572
m softmargin.m
function y = softmargin(x)
%SOFTMARGIN Support Vector Classification Softmargin
%
% Usage: y = softmargin(x)
%
% Author: Steve Gunn (srg@ecs.soton.ac.uk)
if (nargin ~= 1) % check correct number o
www.eeworm.com/read/425699/10336322
m go_print.m
% Print pictures
mkdir(pwd,'results') ;
figure(4002) ; print -depsc results/signatures.ps
figure(4003) ; print -depsc results/distances.ps
figure(5000) ; print -depsc results/classification.ps
www.eeworm.com/read/353714/10428022
m softmargin.m
function y = softmargin(x)
%SOFTMARGIN Support Vector Classification Softmargin
%
% Usage: y = softmargin(x)
%
% Author: Steve Gunn (srg@ecs.soton.ac.uk)
if (nargin ~= 1) % check correct number o
www.eeworm.com/read/159921/10587845
m bayesdemo2.m
% BAYESDEMO2 demo on Bayes classifiation and error estimation.
% Statistical Pattern Recognition Toolbox, Vojtech Franc, Vaclav Hlavac
% (c) Czech Technical University Prague, http://cmp.felk.cvut.c
www.eeworm.com/read/351797/10609911
m softmargin.m
function y = softmargin(x)
%SOFTMARGIN Support Vector Classification Softmargin
%
% Usage: y = softmargin(x)
%
% Author: Steve Gunn (srg@ecs.soton.ac.uk)
if (nargin ~= 1) % check correct number o
www.eeworm.com/read/421949/10675877
m softmargin.m
function y = softmargin(x)
%SOFTMARGIN Support Vector Classification Softmargin
%
% Usage: y = softmargin(x)
%
% Author: Steve Gunn (srg@ecs.soton.ac.uk)
if (nargin ~= 1) % check correct number o
www.eeworm.com/read/421949/10676532
m bayesdemo2.m
% BAYESDEMO2 demo on Bayes classifiation and error estimation.
% Statistical Pattern Recognition Toolbox, Vojtech Franc, Vaclav Hlavac
% (c) Czech Technical University Prague, http://cmp.felk.cvut.c