代码搜索：Estimation
找到约 3,786 项符合「Estimation」的源代码
代码结果 3,786
www.eeworm.com/read/262186/11602306
m exlar.m
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Simple example of Multiple Kernel Estimation using the KBP
%
%
%
% Paper :
% V. Guigue, A. Rakotomamonjy, S. Canu,
www.eeworm.com/read/158100/11643573
m llssigest.m
function [c,e,V,FPE]=llssigest(x,M,method)
% Linear least-squares (LS) signal estimation using
% residual windowing (No-Windowing)
% linear least-squares ( for smoothing applications use M=2L)
% S
www.eeworm.com/read/347288/11676463
txt readme.txt
========================================================================
控制台应用程序 : estimation 项目概况
========================================================================
应用程序向导已为您创建了这个 esti
www.eeworm.com/read/157074/11741301
m exlar.m
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Simple example of Multiple Kernel Estimation using the KBP
%
%
%
% Paper :
% V. Guigue, A. Rakotomamonjy, S. Canu,
www.eeworm.com/read/155543/11864116
m llssigest.m
function [c,e,V,FPE]=llssigest(x,M,method)
% Linear least-squares (LS) signal estimation using
% residual windowing (No-Windowing)
% linear least-squares ( for smoothing applications use M=2L)
% S
www.eeworm.com/read/343227/11962634
m nbh_vit.m
function [class, logl] = nbh_vit(count, TRANS, alpha, beta)
%nbh_vit A posteriori sequence estimation for negative binomial HMM
% using dynamic programming (also known as Viterbi algorithm
www.eeworm.com/read/343227/11962675
m ph_vit.m
function [class, logl] = ph_vit(count, TRANS, rate)
%ph_vit A posteriori sequence estimation for Poisson HMM
% using dynamic programming (also known as Viterbi algorithm).
% Use:
www.eeworm.com/read/256398/12001768
m exlar.m
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Simple example of Multiple Kernel Estimation using the KBP
%
%
%
% Paper :
% V. Guigue, A. Rakotomamonjy, S. Canu,
www.eeworm.com/read/339620/12217043
m saving_calib_ascii.m
if ~exist('save_name'),
save_name = 'Calib_Results';
end;
fprintf(1,'Generating the matlab script file %s.m containing the intrinsic and extrinsic parameters...\n',save_name)
fid = fopen