代码搜索：Matrix
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www.eeworm.com/read/400577/11573256
m setcost.m
%SETCOST Reset classification cost matrix of mapping
%
% W = SETCOST(W,COST,LABLIST)
%
% The classification cost matrix of the dataset W is reset to COST.
% W has to be a trained classifier. CO
www.eeworm.com/read/400577/11573397
m covm.m
%COVM Compute covariance matrix for large datasets
%
% C = COVM(A)
%
% Similar to C = COV(A) this routine computes the covariance matrix
% for the datavectors stored in the rows of A. No large int
www.eeworm.com/read/400576/11573468
m ksvdd.m
%KSVDD Support Vector Data Description on general kernel matrix
%
% W = KSVDD(X,FRACERR,WK)
%
% Train an SVDD on the data X, which is first mapped by mapping WK
% (see for possibilities myproxm
www.eeworm.com/read/400576/11573509
m mog_p.m
function p = mog_P(x,covtype,means,invcovs,priors)
%MOG_P Compute the probability density of a Mixture of Gaussians
%
% P = MOG_P(X,COVTYPE,MEANS,INVCOVS,PRIORS)
%
% Calculate the probability de
www.eeworm.com/read/400576/11573526
m dlpdda.m
function W = dlpdda(x,nu,usematlab)
%DLPDDA Distance Linear Programming Data Description attracted by the Average distance
%
% W = DLPDDA(D,NU)
%
% This one-class classifier works directly on th
www.eeworm.com/read/400576/11573535
m dd_aic.m
function e = dd_aic(w,x)
%DD_AIC compute the Akaike Information Criterion for MoG
%
% E = DD_AIC(W,X)
%
% Compute the Akaike Information Criterion of the Mixture of
% Gaussians. We assume we have
www.eeworm.com/read/400386/11578066
cpp xt6-10.cpp
#include
using namespace std;
int main()
{void change(int *p);
int a[5][5],*p,i,j;
cout
www.eeworm.com/read/348290/11602828
m tspfun.m
%
% ObjVal = tspfun(Phen, Dist)
% Implementation of the TSP fitness function
% Phen contains the phenocode of the matrix coded in adjacency
% representation
% Dist is the matrix with precalculated dis
www.eeworm.com/read/158463/11613287
m ss_tbl31.m
Gold sequences for the table of problem 3.1 of Spread Spectrum Chapter
Note that the sequences are the columns of the below matrix not the rows,
so we have to take the transpose of the following matr
www.eeworm.com/read/158445/11614554
txt vc单纯刑法.txt
单纯形法程序，在VC++6.0 下测试通过！
#include
#include
float matrix[100][100],x[100];
int a[100];
int m,n,s,type;
int indexe,indexl,indexg;
/////////////////////////////////
void jc