代码搜索：Generalized
找到约 2,645 项符合「Generalized」的源代码
代码结果 2,645
www.eeworm.com/read/485544/6552780
m demglm1.m
%DEMGLM1 Demonstrate simple classification using a generalized linear model.
%
% Description
% The problem consists of a two dimensional input matrix DATA and a
% vector of classifications T. The da
www.eeworm.com/read/253950/12173740
m demglm1.m
%DEMGLM1 Demonstrate simple classification using a generalized linear model.
%
% Description
% The problem consists of a two dimensional input matrix DATA and a
% vector of classifications T. The da
www.eeworm.com/read/339665/12211795
m demglm1.m
%DEMGLM1 Demonstrate simple classification using a generalized linear model.
%
% Description
% The problem consists of a two dimensional input matrix DATA and a
% vector of classifications T. The da
www.eeworm.com/read/150905/12250588
m demglm1.m
%DEMGLM1 Demonstrate simple classification using a generalized linear model.
%
% Description
% The problem consists of a two dimensional input matrix DATA and a
% vector of classifications T. The da
www.eeworm.com/read/223338/14644822
m m2m.m
function Mb=m2m(Ma,T)
% Mb=m2m(Ma,T) generalized mass transformation.
% Trasforms generalized mass with respect to coordinate frame a,
% in the generalized mass with respect to coordinate frame b
www.eeworm.com/read/220289/14843869
m demglm1.m
%DEMGLM1 Demonstrate simple classification using a generalized linear model.
%
% Description
% The problem consists of a two dimensional input matrix DATA and a
% vector of classifications T. The da
www.eeworm.com/read/212307/15160178
m demglm1.m
%DEMGLM1 Demonstrate simple classification using a generalized linear model.
%
% Description
% The problem consists of a two dimensional input matrix DATA and a
% vector of classifications T. The da
www.eeworm.com/read/210916/15189911
m cgsvd.m
function [U,sm,X,V] = cgsvds(A,L)
%CGSVD Compact generalized SVD of a matrix pair in regularization problems.
%
% sm = cgsvd(A,L)
% [U,sm,X,V] = cgsvd(A,L) , sm = [sigma,mu]
%
% Computes the generali
www.eeworm.com/read/208657/15239734
m m2m.m
function Mb=m2m(Ma,T)
% Mb=m2m(Ma,T) generalized mass transformation.
% Trasforms generalized mass with respect to coordinate frame a,
% in the generalized mass with respect to coordinate frame b
www.eeworm.com/read/170936/9779358
m demglm1.m
%DEMGLM1 Demonstrate simple classification using a generalized linear model.
%
% Description
% The problem consists of a two dimensional input matrix DATA and a
% vector of classifications T. The da