代码搜索：Fitting
找到约 695 项符合「Fitting」的源代码
代码结果 695
www.eeworm.com/read/376881/2706666
m~ mlsigmoid.m~
function varargout=mlsigmoid(arg1,arg2,arg3)
% MLSIGMOID Fitting a sigmoid function using ML estimation.
%
% Synopsis:
% model = mlsigmoid(data,options)
%
% Description:
% model = mlsigmoid(data,opt
www.eeworm.com/read/376881/2706673
m mlsigmoid.m
function varargout=mlsigmoid(arg1,arg2,arg3)
% MLSIGMOID Fitting a sigmoid function using ML estimation.
%
% Synopsis:
% model = mlsigmoid(data,options)
%
% Description:
% model = mlsigmoid(data,opt
www.eeworm.com/read/371708/2779030
m mlsigmoid.m
function varargout=mlsigmoid(arg1,arg2,arg3)
% MLSIGMOID Fitting a sigmoid function using ML estimation.
%
% Synopsis:
% model = mlsigmoid(data,options)
%
% Description:
% model = mlsigmoid(data,opt
www.eeworm.com/read/369339/2800923
1 tee.1
.th TEE I 3/6/74
.sh NAME
tee \*- pipe fitting
.sh SYNOPSIS
.bd tee
[ name ... ]
.sh DESCRIPTION
.it Tee
transcribes the standard input to the standard
output and makes copies in the named files.
.sh
www.eeworm.com/read/194440/8193700
m visifit.m
function [p,coeff]= visifit(y,x,norder)
% [p,coeff]= visifit(y,x,norder)
%
% VISIFIT allows the interactive fitting of an n'th order
% polynomial to the data y(x). After plotting y(x) VISIFIT
% gra
www.eeworm.com/read/411674/11233981
m mlsigmoid.m
function varargout=mlsigmoid(arg1,arg2,arg3)
% MLSIGMOID Fitting a sigmoid function using ML estimation.
%
% Synopsis:
% model = mlsigmoid(data,options)
%
% Description:
% model = mlsigmoid(data,opt
www.eeworm.com/read/410973/11262155
txt 5-1353msg1.txt
Subject: annual conference of the gldv
9 . gldv jahrestagung 1995 30 . - 31 . 3 . 1995 universitaet regensburg aufruf zur teilnahme die gldv wurde vor genau zwanzig jahren unter dem naman ldv-fitting
www.eeworm.com/read/235612/14060687
m visifit.m
function [p,coeff]= visifit(y,x,norder)
% [p,coeff]= visifit(y,x,norder)
%
% VISIFIT allows the interactive fitting of an n'th order
% polynomial to the data y(x). After plotting y(x) VISIFIT
% gra
www.eeworm.com/read/286662/8751876
m local_polynomial.m
function test_targets = Local_Polynomial(train_patterns, train_targets, test_patterns, Nlp)
% Classify using the local polynomial fitting
% Inputs:
% train_patterns - Train patterns
% train_tar
www.eeworm.com/read/372113/9521253
m local_polynomial.m
function test_targets = Local_Polynomial(train_patterns, train_targets, test_patterns, Nlp)
% Classify using the local polynomial fitting
% Inputs:
% train_patterns - Train patterns
% train_tar