代码搜索：SV Lab
找到约 10,000 项符合「SV Lab」的源代码
代码结果 10,000
www.eeworm.com/read/428849/8834623
m svmquadprog.m
function model = svmquadprog(data,options)
% SVMQUADPROG SVM trained by Matlab Optimization Toolbox.
%
% Synopsis:
% model = svmquadprog( data )
% model = svmquadprog( data, options )
%
% Descriptio
www.eeworm.com/read/384315/8880501
m svmsim.m
function Yd = svmSim(svm,Xt)
% ------------------------------------------------------------%
cathe = 10e+6; % kernel输出的元素个数的上限
nx = size(svm.x,2); % 训练样本数
nt = size(
www.eeworm.com/read/363710/9939666
m svmsim.m
function Yd = svmSim(svm,Xt)
% 输入参数:
% svm 支持向量机(结构体变量)
% the following fields:
% type - 支持向量机类型 {'svc_c','svc_nu','svm_one_class','svr_epsilon','svr_nu'}
% ker - 核参数
% type - line
www.eeworm.com/read/362246/10010085
m svmquadprog.m
function model = svmquadprog(data,options)
% SVMQUADPROG SVM trained by Matlab Optimization Toolbox.
%
% Synopsis:
% model = svmquadprog( data )
% model = svmquadprog( data, options )
%
% Descriptio
www.eeworm.com/read/280595/10311856
m svmquadprog.m
function model = svmquadprog(data,options)
% SVMQUADPROG SVM trained by Matlab Optimization Toolbox.
%
% Synopsis:
% model = svmquadprog( data )
% model = svmquadprog( data, options )
%
% Descriptio
www.eeworm.com/read/275926/10784855
m svmsim.m
function Yd = svmSim(svm,Xt)
% 输入参数:
% svm 支持向量机(结构体变量)
% the following fields:
% type - 支持向量机类型 {'svc_c','svc_nu','svm_one_class','svr_epsilon','svr_nu'}
% ker - 核参数
% type - line
www.eeworm.com/read/468157/6994476
m svmsim.m
function Yd = svmSim(svm,Xt)
% ------------------------------------------------------------%
cathe = 10e+6; % kernel输出的元素个数的上限
nx = size(svm.x,2); % 训练样本数
nt = size(
www.eeworm.com/read/447296/7554908
c amposd.c
/**************************************************************************************/
/*********************** BBK CONFIDENTIAL ************************/
/***
www.eeworm.com/read/447296/7554930
~c amposd.~c
/**************************************************************************************/
/*********************** BBK CONFIDENTIAL ************************/
/***
www.eeworm.com/read/299459/7850409
m svmquadprog.m
function model = svmquadprog(data,options)
% SVMQUADPROG SVM trained by Matlab Optimization Toolbox.
%
% Synopsis:
% model = svmquadprog( data )
% model = svmquadprog( data, options )
%
% Descriptio