代码搜索：same
找到约 10,000 项符合「same」的源代码
代码结果 10,000
www.eeworm.com/read/299064/7894183
po zh_tw.po
# Traditional Chinese Messages for minicom
# Copyright (C) 2006 Free Software Foundation, Inc.
# This file is distributed under the same license as the minicom package.
# OLS3 , 2005
www.eeworm.com/read/433768/7910735
m yellow.m
function y = yellow(m)
%YELLOW Linear yellow-scale color map.
% YELLOW(M) returns an M-by-3 matrix containing a yellow-scale colormap.
% YELLOW, by itself, is the same length as the curr
www.eeworm.com/read/197757/7971524
c killall5.c
/*
* kilall5.c Kill all processes except processes that have the
* same session id, so that the shell that called us
* won't be killed. Typically used in shutdown scripts.
*
* pidof.c Tries to
www.eeworm.com/read/297325/8029919
m merge_two_datasets.m
fprintf(1,'Script that merges two "Cabib_Results.mat" data sets of the same camera into a single dataset\n')
dir;
cont = 1;
while cont
data_set1 = input('Filename of the first dataset (w
www.eeworm.com/read/297233/8039174
t-xrs6000
# Same as t-rs6000, except don't build libgcc1-test. This is because
# the compiler emits code to call external functions to save the
# arguments that are in libc, but since libgcc1-test is linked wi
www.eeworm.com/read/297019/8065333
m nbastrom2.m
function G=nbastrom2(num,den)
if length(num)~=length(den)
error('Same length of numerator and denominator is required');
end
n=length(den);
A=zeros(n);
B=zeros(n,1);
for i=1:n
A(
www.eeworm.com/read/397102/8067991
m minc.m
%MINC Minimum combining classifier
%
% W = minc(V)
% W = V*minc
%
% If V = [V1,V2,V3, ... ] is a set of classifiers trained on the
% same classes and W is the minimum combiner: it selects the cla
www.eeworm.com/read/397102/8068264
m meanc.m
%MEANC Averaging combining classifier
%
% W = meanc(V)
% W = V*meanc
%
% If V = [V1,V2,V3, ... ] is a set of classifiers trained on the
% same classes and W is the mean combiner: it selects the c
www.eeworm.com/read/397102/8068339
m majorc.m
%MAJORC Majority combining classifier
%
% W = majorc(V)
% W = v*majorc
%
% If V = [V1,V2,V3,...] is a stacked set of classifiers trained for
% the same classes and W is the majority combiner: it se
www.eeworm.com/read/397102/8068538
m maxc.m
%MAXC Maximum combining classifier
%
% W = maxc(V)
% W = V*maxc
%
% If V = [V1,V2,V3, ... ] is a set of classifiers trained on the
% same classes and W is the maximum combiner: it selects the cla