代码搜索：Explained
找到约 346 项符合「Explained」的源代码
代码结果 346
www.eeworm.com/read/150905/12248451
m pcldc.m
%PCLDC Linear classifier using PC expansion on the joint data.
%
% W = PCLDC(A,N)
% W = PCLDC(A,ALF)
%
% INPUT
% A Dataset
% N Number of eigenvectors
% ALF Total explained variance (defau
www.eeworm.com/read/150905/12249322
m klldc.m
%KLLDC Linear classifier built on the KL expansion of the common covariance matrix
%
% W = KLLDC(A,N)
% W = KLLDC(A,ALF)
%
% INPUT
% A Dataset
% N Number of significant eigenvectors
% AL
www.eeworm.com/read/149739/12352791
m pcldc.m
%PCLDC Linear classifier using PC expansion on the joint data.
%
% W = PCLDC(A,N)
% W = PCLDC(A,ALF)
%
% INPUT
% A Dataset
% N Number of eigenvectors
% ALF Total explained variance (defau
www.eeworm.com/read/149739/12353597
m klldc.m
%KLLDC Linear classifier built on the KL expansion of the common covariance matrix
%
% W = KLLDC(A,N)
% W = KLLDC(A,ALF)
%
% INPUT
% A Dataset
% N Number of significant eigenvectors
% AL
www.eeworm.com/read/421857/10686971
txt exploits explained ii the #2,000 bug.txt
Exploits Explained II: The #2,000 bug / by R a v e N (blacksun.box.sk)
version 1.1, 27/10/99
Note: this hole was initially di
www.eeworm.com/read/418731/10932470
txt exploits explained ii the #2,000 bug.txt
Exploits Explained II: The #2,000 bug / by R a v e N (blacksun.box.sk)
version 1.1, 27/10/99
Note: this hole was initially di
www.eeworm.com/read/433409/7932835
pdf trf7960_61 output match explained.pdf
www.eeworm.com/read/415537/11064565
txt exploits explained ii the #2,000 bug.txt
Exploits Explained II: The #2,000 bug / by R a v e N (blacksun.box.sk)
version 1.1, 27/10/99
Note: this hole was initially di
www.eeworm.com/read/427909/8913177
m mysize.m
function sz = mysize(M)
% MYSIZE Like the built-in size, except it returns n if M is a vector of length n, and 1 if M is a scalar.
% sz = mysize(M)
%
% The behavior is best explained by examples
www.eeworm.com/read/373250/9467363
m mysize.m
function sz = mysize(M)
% MYSIZE Like the built-in size, except it returns n if M is a vector of length n, and 1 if M is a scalar.
% sz = mysize(M)
%
% The behavior is best explained by examples