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/281192/10257755

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/281192/10257760

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/281192/10257763

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/281192/10257768

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/281192/10257770

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/281192/10257772

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/281192/10257775

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/281192/10257777

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/281192/10257802

m svmclass.m

function [Labels, DecisionValue]= SVMClass(Samples, AlphaY, SVs, Bias, Parameters, nSV, nLabel) % Usages: % [Labels, DecisionValue]= SVMClass(Samples, AlphaY, SVs, Bias); % [Labels, DecisionValu
www.eeworm.com/read/281002/10273131

c bcdb.c

/*---------------------------------------------------------------------- File : bcdb.c Contents: generate a database from a Bayes classifier Author : Christian Borgelt History : 2003.04.26