代码搜索：parameter
找到约 10,000 项符合「parameter」的源代码
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www.eeworm.com/read/281357/9160523
xml readme.xml
Snort XML Output Plug-in
I. Summary
The XML plug-in enables snort to log in SNML - simple network markup
language aka (snort markup language) to a file or over a network. The
DTD is availabl
www.eeworm.com/read/379433/9197804
m psoget.m
function VAL = PSOGET(OPTIONS,name,default,flag)
%PSOGET Get PSO OPTIONS parameters.
% VAL = PSOGET(OPTIONS,'NAME') extracts the value of the named parameter
% from optimization options structure
www.eeworm.com/read/379038/9210462
par coach.par
#coach parameter are listed as follows:
ourOwnTeamName : WrightEagleBDI
serverVersion : 8.05.6
#
#
www.eeworm.com/read/378503/9228285
xml readme.xml
Snort XML Output Plug-in
I. Summary
The XML plug-in enables snort to log in SNML - simple network markup
language aka (snort markup language) to a file or over a network. The
DTD is availabl
www.eeworm.com/read/181590/9244995
pl kerneldoc2doxygen.pl
#!/usr/bin/perl -w
#
##########################################################################
# Convert kernel-doc style comments to Doxygen comments.
###############################################
www.eeworm.com/read/378183/9246699
dat errortc106.dat
错误信息: Type mismatch in parameter xxx
中文注释: 参数xxx类型不匹配
www.eeworm.com/read/181309/9260007
m wrimage.m
function x = wrimage(DataOut,h,w,filename,PicExpand)
%WRIMAGE Formats the data and writes it to a bmp file
%
% x = wrimage(DataOut,h,w,filename,PicExpand)
% x : image data as a single row vector.
www.eeworm.com/read/180786/9295448
asm chap4.asm
; Chapter 4 6808 assembly language programs
; Jonathan W. Valvano
; This software accompanies the book,
; Real Time Embedded Systems published by Brooks Cole
;
; Program 4.1. This subroutine is nonre
www.eeworm.com/read/180305/9313000
m demsvm3.m
function demsvm3()
% DEMSVM3 - Sample code for the use of SVMCV (parameter selection)
%
% This function is not meant to be executed!
%
% Given a data set with examples X and labels Y.
% First,
www.eeworm.com/read/180305/9313023
m svmcv.m
function [net, CVErr, paramSeq] = svmcv(net, X, Y, range, step, nfold, Xv, Yv, dodisplay)
% SVMCV - Kernel parameter selection for SVM via cross validation
%
% NET = SVMCV(NET, X, Y, RANGE)
% Giv