代码搜索：Explained
找到约 346 项符合「Explained」的源代码
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www.eeworm.com/read/153768/12008088
w wmerge.w
% Modified 16 Jan 2002 to agree with COMMON version 3.64
\def\9#1{} % this hack is explained in CWEB manual Appendix F11
@* Introduction. This file contains the program \.{wmerge},
which takes two
www.eeworm.com/read/12870/263385
h uniregs_registration_event.h
/*
* Copyright (C) ARM Ltd. 2002. All rights reserved.
*
* $Revision: 1.1.2.10.4.2 $
* $Author: dsinclai $
* $Date: 2003/07/07 15:46:12 $
*
* Uniregs are explained in DS024-GENC-001255 (
www.eeworm.com/read/13887/285254
m eeg_peaks.m
function [p] = eeg_peaks(p)
% EEG_PEAKS - Find peaks in EEG data
%
% Useage: [p] = eeg_peaks(p)
%
% The p structure is explained in eeg_toolbox_defaults.
% For this function, it must contain the
www.eeworm.com/read/196314/5103020
properties epe.properties
title=Extreme Programming Explained
isbn=0201616416
author=Kent Beck
pubmonth=199910
subject=extreme programming agile test driven development methodology
url=http://www.amazon.com/exec/obidos/tg/deta
www.eeworm.com/read/357013/3035558
properties epe.properties
title=Extreme Programming Explained
isbn=0201616416
author=Kent Beck
pubmonth=199910
subject=extreme programming agile test driven development methodology
url=http://www.amazon.com/exec/obidos/tg/deta
www.eeworm.com/read/289119/8575024
m plsgacv.m
% PLSC
% Computation of Cross-Validated Explained Variance
% after predictors selection using genetic algorithms
% sintax:
% [best,exp_var_cv,mxi,sxi,myi,syi]=plsgacv(x,y,aut,ng,A,msca,ssca);
www.eeworm.com/read/288586/8620342
m plsgacv.m
% PLSC
% Computation of Cross-Validated Explained Variance
% after predictors selection using genetic algorithms
% sintax:
% [best,exp_var_cv,mxi,sxi,myi,syi]=plsgacv(x,y,aut,ng,A,msca,ssca);
www.eeworm.com/read/376842/9303787
m dispeeof.m
% dispEEOF(CHP,EXPVAR,DT,NLAG,MOD) Display few EEOFs.
%
% => DISPLAY FEW EEOFs.
% CHP contains all the EEOFs as EOF*LAG*X*Y.
% EXPVAR is a matrix with the explained variance of each
% EEOFs in %. Thi
www.eeworm.com/read/178062/9420752
m plsgacv.m
% PLSC
% Computation of Cross-Validated Explained Variance
% after predictors selection using genetic algorithms
% sintax:
% [best,exp_var_cv,mxi,sxi,myi,syi]=plsgacv(x,y,aut,ng,A,msca,ssca);