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/255755/12057878
m crossval.m
%CROSSVAL Error estimation by cross validation (rotation)
%
% [ERR,CERR,NLAB_OUT] = CROSSVAL(DATA,CLASSF,N,1,FID)
% [ERR,STDS] = CROSSVAL(DATA,CLASSF,N,NREP,FID)
%
% INPUT
% A
www.eeworm.com/read/150905/12249110
m crossval.m
%CROSSVAL Error estimation by cross validation (rotation)
%
% [ERR,CERR,NLAB_OUT] = CROSSVAL(DATA,CLASSF,N,1,FID)
% [ERR,STDS] = CROSSVAL(DATA,CLASSF,N,NREP,FID)
%
% INPUT
% A
www.eeworm.com/read/150760/12266010
m demo_mmgauss.m
function demo_mmgauss(action,hfigure,varargin)
% DEMO_MMGAUSS Demo on minimax estimation for Gaussian.
%
% Synopsis:
% demo_mmgauss
%
% Description:
% demo_mmgauss demonstrates the minimax estimati
www.eeworm.com/read/150542/12287019
todo
$Id: TODO,v 1.4 1998/02/23 09:57:48 kanungo Exp kanungo $
-- Documentation: Tutorial with theory, description of software,
and applications.
+added some
-- Estimation from multiple observatio
www.eeworm.com/read/150133/12310056
m transmat_train_observed.m
function [transmat, initState] = transmat_train_observed(labels, nstates, varargin)
% transmat_train_observed ML estimation from fully observed data
% function [transmat, initState] = transmat_trai
www.eeworm.com/read/149739/12353476
m crossval.m
%CROSSVAL Error estimation by cross validation (rotation)
%
% [ERR,CERR,NLAB_OUT] = CROSSVAL(DATA,CLASSF,N,1,FID)
% [ERR,STDS] = CROSSVAL(DATA,CLASSF,N,NREP,FID)
%
% INPUT
% A
www.eeworm.com/read/232118/14207962
maxseek
@ This GAUSS file reads in data, sets options, and calls numerical
optimization routine for numerical estimation of SWARCH model @
output file=junk.out reset;
format /m1 /ros 1
www.eeworm.com/read/213492/15133746
m demo_mmgauss.m
function demo_mmgauss(action,hfigure,varargin)
% DEMO_MMGAUSS Demo on minimax estimation for Gaussian.
%
% Synopsis:
% demo_mmgauss
%
% Description:
% demo_mmgauss demonstrates the minimax estimati
www.eeworm.com/read/13871/284722
m transmat_train_observed.m
function [transmat, initState] = transmat_train_observed(labels, nstates, varargin)
% transmat_train_observed ML estimation from fully observed data
% function [transmat, initState] = transmat_trai
www.eeworm.com/read/242667/4546314
h waterfill.h
/* function which computes the bit allocation from the channel estimation.
The function uses the so called waterfilling algorithm.*/
// inputs: Hreal, Himag, Noise_var
// outputs: bn, en, btot