代码搜索：evaluate
找到约 3,619 项符合「evaluate」的源代码
代码结果 3,619
www.eeworm.com/read/150749/12267174
m simlssvm.m
function [Y,Yl,model] = simlssvm(model,Xt,A3,A4,A5)
% Evaluate the LS-SVM at the given points
%
% >> Yt = simlssvm({X,Y,type,gam,sig2,kernel}, {alpha,b}, Xt)
% >> Yt = simlssvm({X,Y,type,gam,sig2,ker
www.eeworm.com/read/150749/12267307
m simlssvm.m
function [Y,Yl,model] = simlssvm(model,Xt,A3,A4,A5)
% Evaluate the LS-SVM at the given points
%
% >> Yt = simlssvm({X,Y,type,gam,sig2,kernel}, {alpha,b}, Xt)
% >> Yt = simlssvm({X,Y,type,gam,sig2,ker
www.eeworm.com/read/119681/14824442
m simlssvm.m
function [Y,Yl,model] = simlssvm(model,Xt,A3,A4,A5)
% Evaluate the LS-SVM at the given points
%
% >> Yt = simlssvm({X,Y,type,gam,sig2,kernel}, {alpha,b}, Xt)
% >> Yt = simlssvm({X,Y,type,gam,sig2,ker
www.eeworm.com/read/214923/15082924
m simlssvm.m
function [Y,Yl,model] = simlssvm(model,Xt,A3,A4,A5)
% Evaluate the LS-SVM at the given points
%
% >> Yt = simlssvm({X,Y,type,gam,sig2,kernel}, {alpha,b}, Xt)
% >> Yt = simlssvm({X,Y,type,gam,sig2,ker
www.eeworm.com/read/229812/4737233
c pp26.c
#include "fail.h"
#define ppn1 0xae+0x51
unsigned x = ppn1; // should evaluate to 0xff
int main() {
if( x != 0xff ) fail(__LINE__);
if( (ppn1) != 0xff ) fail(__LINE__);
_PASS;
www.eeworm.com/read/229812/4739382
c pp26.c
#include "fail.h"
#define ppn1 0xae+0x51
unsigned x = ppn1; // should evaluate to 0xff
int main() {
if( x != 0xff ) fail(__LINE__);
if( (ppn1) != 0xff ) fail(__LINE__);
_PASS;
www.eeworm.com/read/344585/3207864
m simlssvm.m
function [Y,Yl,model] = simlssvm(model,Xt,A3,A4,A5)
% Evaluate the LS-SVM at the given points
%
% >> Yt = simlssvm({X,Y,type,gam,sig2,kernel}, {alpha,b}, Xt)
% >> Yt = simlssvm({X,Y,type,gam,sig2,ker
www.eeworm.com/read/396844/2407672
m gaussian_prob.m
function p = gaussian_prob(x, m, C, use_log)
% GAUSSIAN_PROB Evaluate a multivariate Gaussian density.
% p = gaussian_prob(x, m, C, use_log)
%
% p(i) = N(x(:,i), m, C) if use_log = 0 (default)
% p(i)
www.eeworm.com/read/392854/8322481
m gaussian_prob.m
function p = gaussian_prob(x, m, C, use_log)
% GAUSSIAN_PROB Evaluate a multivariate Gaussian density.
% p = gaussian_prob(X, m, C, use_log)
%
% p(i) = N(X(:,i), m, C) if use_log = 0 (default)
% p(i)
www.eeworm.com/read/172172/9722065
m simlssvm.m
function [Y,Yl,model] = simlssvm(model,Xt,A3,A4,A5)
% Evaluate the LS-SVM at the given points
%
% >> Yt = simlssvm({X,Y,type,gam,sig2,kernel}, {alpha,b}, Xt)
% >> Yt = simlssvm({X,Y,type,gam,sig2,ker