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/180304/9313090
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/180304/9313096
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/180304/9313097
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/180304/9313099
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/180304/9313101
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/180304/9313104
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/180304/9313128
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/178917/9382310
m contents.m
% Support Vector Machine toolbox
% Version 2.51, January 2002
%
% SVM functions:
% svm - create a support vector machine classifier
% svmfwd - forward propagation through svm
% svmkernel - c
www.eeworm.com/read/373632/9445451
description
Package: knnTree
Version: 1.2.4
Date: 2008-05-06
Title: k-nn classification with variable selection inside leaves of a
tree
Author: Sam Buttrey
Maintainer: Sam Buttrey
www.eeworm.com/read/175688/9536134
m svmclass.m
function [y,dfce] = svmclass(X,model)
% SVMCLASS Support Vector Machines Classifier.
%
% Synopsis:
% [y,dfce] = svmclass( X, model )
%
% Description:
% [y,dfce] = svmclass( X, model ) classifies inp