代码搜索：factor
找到约 6,651 项符合「factor」的源代码
代码结果 6,651
www.eeworm.com/read/273525/4206549
hlp score.hlp
{smcl}
{* 10mar2005}{...}
{cmd:help score}
{hline}
{pstd}
{cmd:score} is an out-of-date command as of Stata 9. {cmd:predict} after
{cmd:factor} and {cmd:pca} can provide scores;
see {help fa
www.eeworm.com/read/434858/1867917
m mfa.m
% function [Lh,Ph,Mu,Pi,LL]=mfa(X,M,K,cyc,tol);
%
% Maximum Likelihood Mixture of Factor Analysis using EM
%
% X - data matrix
% M - number of mixtures (default 1)
% K - number of factors in each mix
www.eeworm.com/read/420735/2064484
entries
8
dir
1533
https://mosesdecoder.svn.sourceforge.net/svnroot/mosesdecoder/trunk/regression-testing/tests/multi-factor-drop/truth
https://mosesdecoder.svn.sourceforge.net/svnroot/mosesdecoder
2007-0
www.eeworm.com/read/414605/2143559
c mou_ps2.c
#include
#include
#include
#include
#include "device.h"
#define SCALE 3 /* default scaling factor for acceleration */
#define THRESH 5 /* default threshhol
www.eeworm.com/read/393395/2474670
c symfctmex.c
/*
L = symfctmex(X, perm)
Computes sparse symbolic factor L.L, updated permutation L.perm,
super-node partition L.xsuper.
Invokes SPARSPAK-A (ANSI FORTRAN) RELEASE III,
by Joseph L
www.eeworm.com/read/393163/2487813
m mfa.m
% function [Lh,Ph,Mu,Pi,LL]=mfa(X,M,K,cyc,tol);
%
% Maximum Likelihood Mixture of Factor Analysis using EM
%
% X - data matrix
% M - number of mixtures (default 1)
% K - number of factors in each mix
www.eeworm.com/read/371704/2779123
m s_exp_scaling.m
function [seismic,aux]=s_exp_scaling(seismic,varargin)
% Function applies an exponential scale factor to each trace of "seismic'.
% s(t) ==> exp(-c*t)*s(t)
%
% Written by: E. R.: January 9, 2004
www.eeworm.com/read/366702/2883280
c prefetch-3.c
/* Prefetching used to prefer nonsensical unroll factor of 5 in this testcase. */
/* { dg-do compile { target i?86-*-* x86_64-*-* } } */
/* { dg-require-effective-target ilp32 } */
/* { dg-options "
www.eeworm.com/read/102394/15784177
changelog
2003-08-11 Brian Gough
* test_sf.c: added preprocessor definitions TEST_FACTOR and
TEST_SIGMA to allow larger tolerances on released versions (to
reduce the number of
www.eeworm.com/read/392021/8366796
m bplogsmooth.m
function [f,p] = bplogsmooth(X,tbin,f0)
% Smooth the fft, X, and convert it to dB.
% Use 8 bins from the bin corresponding to f0 to tbin and again as far.
% Thereafter increase bin sizes by a factor