代码搜索：classifier
找到约 4,824 项符合「classifier」的源代码
代码结果 4,824
www.eeworm.com/read/283653/9000605
m u_clademo.m
echo off
% CLADEMO demonstration for using a contructed SVM classifier to classify
% input patterns
%
echo on;
%
%
% NOTICE: please first run any of the first three demonstrations before
%
www.eeworm.com/read/283653/9000607
m c_rbfdemo.m
echo off
% RBFDEMO demonstration for using nonlinear SVM classifier
% with a RBF kernel.
echo on;
clc
% RBFDEMO demonstration for using nonlinear SVM classifier
% with a RBF kernel.
%#####
www.eeworm.com/read/283653/9000610
m u_poldemo.m
echo off
%POLDEMO demonstration for using nonlinear SVM classifier with a
% polynomial keneral.
echo on;
clc
%POLDEMO demonstration for using nonlinear SVM classifier with a
% polynomial ke
www.eeworm.com/read/283653/9000611
m one_rbfdemo.m
echo off
% RBFDEMO demonstration for using nonlinear SVM classifier
% with a RBF kernel.
echo on;
clc
% RBFDEMO demonstration for using nonlinear SVM classifier
% with a RBF kernel.
%#####
www.eeworm.com/read/283653/9000614
m u_svcdemo.m
% ------- OSU nu-SVM CLASSIFIER TOOLBOX Demonstrations---
%
% 1) Construct a linear SVM Classifier and test it
% 2) Construct a nonlinear SVM Classifier (polynomial kernel) and
www.eeworm.com/read/283653/9000615
m c_lindemo.m
echo off
%LINDEMO demonstration for using linear SVM classifier.
echo on;
clc
%LINDEMO demonstration for using linear SVM classifier.
%#########################################################
www.eeworm.com/read/283653/9000616
m u_rbfdemo.m
echo off
% RBFDEMO demonstration for using nonlinear SVM classifier
% with a RBF kernel.
echo on;
clc
% RBFDEMO demonstration for using nonlinear SVM classifier
% with a RBF kernel.
%#####
www.eeworm.com/read/283653/9000617
m u_lindemo.m
echo off
%LINDEMO demonstration for using linear SVM classifier.
echo on;
clc
%LINDEMO demonstration for using linear SVM classifier.
%#########################################################
www.eeworm.com/read/283653/9000621
m c_clademo.m
echo off
% CLADEMO demonstration for using a contructed SVM classifier to classify
% input patterns
echo on;
%
%
% NOTICE: please first run any of the first three demonstrations before
%
www.eeworm.com/read/283653/9000655
m svmclass.m
function [Labels, DecisionValue]= SVMClass(Samples, AlphaY, SVs, Bias, Parameters, nSV, nLabel)
% Usages:
% [Labels, DecisionValue]= SVMClass(Samples, AlphaY, SVs, Bias);
% [Labels, DecisionValu