代码搜索：Netlab
找到约 753 项符合「Netlab」的源代码
代码结果 753
www.eeworm.com/read/397111/8067402
m mog_dd.m
%MOG_DD Mixture of Gaussians data description
%
% W = MOG_DD(A,FRACREJ,N)
%
% Training of a mixture of Gaussians, with N Gaussians.
%
% The algorithm was inspired from NetLab, Bishop but changed
www.eeworm.com/read/143706/12849695
m contents.m
% Netlab Toolbox
% Version 3.2.1 31-Oct-2001
%
% conffig - Display a confusion matrix.
% confmat - Compute a confusion matrix.
% conjgrad - Conjugate gradients optimization.
% consist - Ch
www.eeworm.com/read/152843/5662971
h nsp_cs.h
/*=======================================================/
Header file for nsp_cs.c
By: YOKOTA Hiroshi
Ver.1.0 : Cut unused lines.
Ver 0.1 : Initial v
www.eeworm.com/read/147766/5725087
h nsp_cs.h
/*=======================================================/
Header file for nsp_cs.c
By: YOKOTA Hiroshi
Ver.1.0 : Cut unused lines.
Ver 0.1 : Initial v
www.eeworm.com/read/136786/5865628
h nsp_cs.h
/*=======================================================/
Header file for nsp_cs.c
By: YOKOTA Hiroshi
Ver.1.0 : Cut unused lines.
Ver 0.1 : Initial v
www.eeworm.com/read/128531/5987781
h nsp_cs.h
/*=======================================================/
Header file for nsp_cs.c
By: YOKOTA Hiroshi
Ver.1.0 : Cut unused lines.
Ver 0.1 : Initial v
www.eeworm.com/read/127781/5999014
h nsp_cs.h
/*=======================================================/
Header file for nsp_cs.c
By: YOKOTA Hiroshi
Ver.1.0 : Cut unused lines.
Ver 0.1 : Initial v
www.eeworm.com/read/110034/6170191
h nsp_cs.h
/*=======================================================/
Header file for nsp_cs.c
By: YOKOTA Hiroshi
Ver.1.0 : Cut unused lines.
Ver 0.1 : Initial v
www.eeworm.com/read/102935/6229057
h nsp_cs.h
/*=======================================================/
Header file for nsp_cs.c
By: YOKOTA Hiroshi
Ver.1.0 : Cut unused lines.
Ver 0.1 : Initial v
www.eeworm.com/read/485544/6552698
m contents.m
% Netlab Toolbox
% Version 3.2.1 31-Oct-2001
%
% conffig - Display a confusion matrix.
% confmat - Compute a confusion matrix.
% conjgrad - Conjugate gradients optimization.
% consist - Ch