代码搜索：Fitting
找到约 695 项符合「Fitting」的源代码
代码结果 695
www.eeworm.com/read/362008/10023953
m loglikelihood.m
function ll = loglikelihood(theta, patterns, h, center_point, cp_target)
% Used by the polynomial fitting algorithm
[c,r] = size(patterns);
patterns = center_point * ones(1,r) - patterns;
www.eeworm.com/read/357874/10199153
m loglikelihood.m
function ll = loglikelihood(theta, patterns, h, center_point, cp_target)
% Used by the polynomial fitting algorithm
[c,r] = size(patterns);
patterns = center_point * ones(1,r) - patterns;
www.eeworm.com/read/349842/10796889
m loglikelihood.m
function ll = loglikelihood(theta, features, h, center_point, cp_target)
% Used by the polynomial fitting algorithm
[c,r] = size(features);
features = center_point * ones(1,r) - features;
www.eeworm.com/read/399996/7816929
m loglikelihood.m
function ll = loglikelihood(theta, patterns, h, center_point, cp_target)
% Used by the polynomial fitting algorithm
[c,r] = size(patterns);
patterns = center_point * ones(1,r) - patterns;
www.eeworm.com/read/397106/8067748
m loglikelihood.m
function ll = loglikelihood(theta, features, h, center_point, cp_target)
% Used by the polynomial fitting algorithm
[c,r] = size(features);
features = center_point * ones(1,r) - features;
www.eeworm.com/read/397099/8068958
m loglikelihood.m
function ll = loglikelihood(theta, patterns, h, center_point, cp_target)
% Used by the polynomial fitting algorithm
[c,r] = size(patterns);
patterns = center_point * ones(1,r) - patterns;
www.eeworm.com/read/245941/12771041
m loglikelihood.m
function ll = loglikelihood(theta, patterns, h, center_point, cp_target)
% Used by the polynomial fitting algorithm
[c,r] = size(patterns);
patterns = center_point * ones(1,r) - patterns;
www.eeworm.com/read/330850/12865037
m loglikelihood.m
function ll = loglikelihood(theta, patterns, h, center_point, cp_target)
% Used by the polynomial fitting algorithm
[c,r] = size(patterns);
patterns = center_point * ones(1,r) - patterns;
www.eeworm.com/read/317622/13500914
m loglikelihood.m
function ll = loglikelihood(theta, patterns, h, center_point, cp_target)
% Used by the polynomial fitting algorithm
[c,r] = size(patterns);
patterns = center_point * ones(1,r) - patterns;
www.eeworm.com/read/316604/13520492
m loglikelihood.m
function ll = loglikelihood(theta, features, h, center_point, cp_target)
% Used by the polynomial fitting algorithm
[c,r] = size(features);
features = center_point * ones(1,r) - features;