代码搜索：Contain
找到约 10,000 项符合「Contain」的源代码
代码结果 10,000
www.eeworm.com/read/184726/9082331
h zip.h
/* zip.h -- IO for compress .zip files using zlib
Version 0.18 beta, Feb 26th, 2002
Copyright (C) 1998-2002 Gilles Vollant
This unzip package allow creates .ZIP file, compatible with
www.eeworm.com/read/182200/9211866
readme
GAUL Test and Benchmark Code
============================
This directory will eventually contain a set of test programs and a benchmark
suite. As you can see, these things do not exist yet.
Stewart
www.eeworm.com/read/180305/9313015
m svmfwd.m
function [Y, Y1] = svmfwd(net, X)
% SVMFWD - Forward propagation through Support Vector Machine classifier
%
% Y = SVMFWD(NET, X)
% For a data structure NET, the matrix of vectors X is input into
www.eeworm.com/read/376053/9334406
m svmfwd.m
function [Y, Y1] = svmfwd(net, X)
% SVMFWD - Forward propagation through Support Vector Machine classifier
%
% Y = SVMFWD(NET, X)
% For a data structure NET, the matrix of vectors X is input in
www.eeworm.com/read/375875/9346026
3 readme.3
This is the third of six archives containing the x86/MSDOS Interrupt List,
release 61. It should contain:
README.3
INTERRUP.1ST
INTERRUP.J
INTERRUP.K
INTERRUP.L
INTERRUP.M
INT
www.eeworm.com/read/375874/9346143
2 readme.2
This is the second of six archives containing the x86/MSDOS Interrupt List,
release 61. It should contain the following files:
README.2
INTERRUP.E
INTERRUP.F
INTERRUP.G
INTERRUP.H
www.eeworm.com/read/375317/9364435
h zip.h
/* zip.h -- IO for compress .zip files using zlib
Version 0.20, September 01th, 2002
Copyright (C) 1998-2002 Gilles Vollant
This unzip package allow creates .ZIP file, compatible with
www.eeworm.com/read/178917/9382315
m svmfwd.m
function [Y, Y1] = svmfwd(net, X)
% SVMFWD - Forward propagation through Support Vector Machine classifier
%
% Y = SVMFWD(NET, X)
% For a data structure NET, the matrix of vectors X is input into
www.eeworm.com/read/373012/9479233
awk deriv.awk
# the file should contain nbtimestep lines, and n results per line
# we compute (nbtimestep-1) time derivatives
BEGIN {
dt=1;
n=0; time=0;
}
{
if(!time) n = $NF;
for(j=0; j
www.eeworm.com/read/175683/9536356
m svmfwd.m
function [Y, Y1] = svmfwd(net, X)
% SVMFWD - Forward propagation through Support Vector Machine classifier
%
% Y = SVMFWD(NET, X)
% For a data structure NET, the matrix of vectors X is input into