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/213240/15140025
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/430506/1929477
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/373460/2761911
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/367442/9748058
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/204456/15339322
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/397111/8067070
m lpdd.m
function W = lpdd(x,nu,s,dtype,par)
%LPDD Linear programming distance data description
%
% W = LPDD(X,NU,S,DTYPE,P)
%
% One-class classifier put into a linear programming framework. From
% th
www.eeworm.com/read/493294/6399887
m lpdd.m
function W = lpdd(x,nu,s,dtype,par)
%LPDD Linear programming distance data description
%
% W = LPDD(X,NU,S,DTYPE,P)
%
% One-class classifier put into a linear programming framework. From
% th
www.eeworm.com/read/213240/15139947
m lpdd.m
function W = lpdd(x,nu,s,dtype,par)
%LPDD Linear programming distance data description
%
% W = LPDD(X,NU,S,DTYPE,P)
%
% One-class classifier put into a linear programming framework. From
% th
www.eeworm.com/read/204456/15339245
m lpdd.m
function W = lpdd(x,nu,s,dtype,par)
%LPDD Linear programming distance data description
%
% W = LPDD(X,NU,S,DTYPE,P)
%
% One-class classifier put into a linear programming framework. From
% th
www.eeworm.com/read/289488/8548194
m exoneclasssvm.m
%
%
% One-Class SVM example
%
clear all
close all
randn('seed',0)
nu=0.9;
n=1000;
sigma=0.5;
[xapp,yapp]=datasets('gaussian',n,0,sigma);
xapp=xapp(find(yapp==1),:);
n=size(xapp,1);