代码搜索：usage
找到约 10,000 项符合「usage」的源代码
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www.eeworm.com/read/262186/11602330
m featselregspanboundgdrandom.m
function [RankedVariables,nbsvvec,Values,NbQP,NbInv]=FeatSelspanboundGD(x,y,c,epsilon,kernel,kerneloption,verbose,FeatSeloption)
% USAGE
%
% [RankedVariables,nbsvvec,Values]=FeatSelspanboundGD
www.eeworm.com/read/262186/11602344
m featselregalphagdrandom.m
function [RankedVariables,nbsvvec,Values,NbQP]=FeatSelregalphaGDrandom(x,y,c,epsilon,kernel,kerneloption,verbose,FeatSeloption)
% Usage
%
% [RankedVariables,nbsvvec,Values,NbQP]=FeatSelregalph
www.eeworm.com/read/158328/11625677
m show_psooptions.m
%show_psoOptions >> A function to read and display the psoOptions structure.
%
% Usage : strOptions = show_psoOptions( psoOptions )
% Arguments : A structure containing various option
www.eeworm.com/read/261198/11659543
m matprint.m
% MATPRINT - prints a matrix with specified format string
%
% Usage: matprint(a, fmt, fid)
%
% a - Matrix to be printed.
% fmt - C style format string to use for each
www.eeworm.com/read/347379/11670271
txt readme.txt
Code Sample Name: SyncManager
Feature Area: Device ActiveSync
Description:
The App runs on a WinCE Device and displays the usage of the ActiveSync APIs,
utilising ActiveSyncStart() and Acti
www.eeworm.com/read/157074/11741212
m tensorwavkernel.m
function [kernel,KernelInfo]=tensorwavkernel(x,xsup,kerneloption)
% USAGE
%
% [kernel,KernelInfo]=tensorwavkernel(x,xsup,kerneloption)
%
% Process a tensor product wavelet kernel.
% the
www.eeworm.com/read/260080/11748398
m show_psooptions.m
%show_psoOptions >> A function to read and display the psoOptions structure.
%
% Usage : strOptions = show_psoOptions( psoOptions )
% Arguments : A structure containing various option
www.eeworm.com/read/259756/11768295
m uniformrefine.m
function [mesh] = uniformrefine(mesh,n)
% UNIFORMREFINE refines the current triangulation by dividing
% each triangle into four similar triangles
%
% USAGE
% [mesh] = uniformrefine(mesh)
%
% Inpu
www.eeworm.com/read/344640/11870086
m svmclass.m
function [Labels, DecisionValue]= SVMClass(Samples,AlphaY, SVs, Bias, Parameters)
% USAGE:
% [Labels, DecisionValue]= SVMClass(Samples,AlphaY, SVs, Bias, Parameters)
%
% DESCRIPTION:
% Classify
www.eeworm.com/read/343491/11944491
m matlabshibbsr.m
function B = shibbs(X,m)
%
% Developpment version
%================================================================
% Blind separation of real signals with SHIBBS. Version 1.5 Dec. 1997.
%
% Usage