代码搜索：One-Class
找到约 293 项符合「One-Class」的源代码
代码结果 293
www.eeworm.com/read/360995/10070037
m mst_dd.m
%MST_DD Minimum Spanning Tree Data Description.
%
% [W,TREE,A] = MST_DD(A,FRACREJ,N)
%
% INPUT
% A one-class dataset
% FRACREJ fraction rejection [0,1]; (default 0.1)
% N
www.eeworm.com/read/159921/10588226
c m2o_smo.c
/*---------------------------------------------------------------------------
[Alpha,bias,kercnt] = m2o_smo(data,labels,ker,arg,C,eps,tol)
M2O_SMO Multi-class translated to one-class SVM and solved b
www.eeworm.com/read/421949/10676898
c m2o_smo.c
/*---------------------------------------------------------------------------
[Alpha,bias,kercnt] = m2o_smo(data,labels,ker,arg,C,eps,tol)
M2O_SMO Multi-class translated to one-class SVM and solved b
www.eeworm.com/read/461039/7235509
m exoneclasssvm.m
%
%
% One-Class SVM example
%
clear all
close all
n=100;
sigma=0.2;
[xapp,yapp]=dataset('gaussian',n,0,sigma);
nu=0.1;
kernel='gaussian';
kerneloption=0.33;
verbose=1;
[xsup,alpha
www.eeworm.com/read/451547/7461964
m mst_dd.m
%MST_DD Minimum Spanning Tree Data Description.
%
% [W,TREE,A] = MST_DD(A,FRACREJ,N)
%
% INPUT
% A one-class dataset
% FRACREJ fraction rejection [0,1]; (default 0.1)
% N
www.eeworm.com/read/493294/6400312
m mst_dd.m
%MST_DD Minimum Spanning Tree Data Description.
%
% [W,TREE,A] = MST_DD(A,FRACREJ,N)
%
% INPUT
% A one-class dataset
% FRACREJ fraction rejection [0,1]; (default 0.1)
% N
www.eeworm.com/read/492400/6422283
m mst_dd.m
%MST_DD Minimum Spanning Tree Data Description.
%
% [W,TREE,A] = MST_DD(A,FRACREJ,N)
%
% INPUT
% A one-class dataset
% FRACREJ fraction rejection [0,1]; (default 0.1)
% N
www.eeworm.com/read/400576/11573536
m mst_dd.m
%MST_DD Minimum Spanning Tree Data Description.
%
% [W,TREE,A] = MST_DD(A,FRACREJ,N)
%
% INPUT
% A one-class dataset
% FRACREJ fraction rejection [0,1]; (default 0.1)
% N
www.eeworm.com/read/256399/12001559
m exoneclasssvm.m
%
%
% One-Class SVM example
%
clear all
close all
n=100;
sigma=0.2;
[xapp,yapp]=dataset('gaussian',n,0,sigma);
nu=0.1;
kernel='gaussian';
kerneloption=0.33;
verbose=1;
[xsup,alpha
www.eeworm.com/read/152779/12085659
m exoneclasssvm.m
%
%
% One-Class SVM example
%
clear all
close all
n=100;
sigma=0.2;
[xapp,yapp]=dataset('gaussian',n,0,sigma);
nu=0.1;
kernel='gaussian';
kerneloption=0.33;
verbose=1;
[xsup,alpha