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/400576/11573547
m dd_eer.m
%EER Equal error rate
%
% E = DD_EER(R)
% E = A*W*DD_EER
%
% Compute the Equal error rate for ROC-curve R, or from the roc-curve
% derived from dataset A applied to (one-class) classifier W. Out
www.eeworm.com/read/213240/15140035
m dd_eer.m
%EER Equal error rate
%
% E = DD_EER(R)
% E = A*W*DD_EER
%
% Compute the Equal error rate for ROC-curve R, or from the roc-curve
% derived from dataset A applied to (one-class) classifier W. Out
www.eeworm.com/read/204456/15339330
m dd_eer.m
%EER Equal error rate
%
% E = DD_EER(R)
% E = A*W*DD_EER
%
% Compute the Equal error rate for ROC-curve R, or from the roc-curve
% derived from dataset A applied to (one-class) classifier W. Out
www.eeworm.com/read/159921/10588302
m~ minballdemo1.m~
% Demo on finind minimal ball around data.
% loads data
data=load('data1');
% compute minimal ball around data (one-class SVM) in 'RBF" space
ker='rbf';
arg=0.5;
[Alpha, R, mi2 ] = minball(data.X,ke
www.eeworm.com/read/421949/10676976
m~ minballdemo1.m~
% Demo on finind minimal ball around data.
% loads data
data=load('data1');
% compute minimal ball around data (one-class SVM) in 'RBF" space
ker='rbf';
arg=0.5;
[Alpha, R, mi2 ] = minball(data.X,ke
www.eeworm.com/read/397097/8069104
m lpdd.m
function W = lpdd(x,nu,dtype,par1,par2)
% W = lpdd(x,nu,dtype,p1,p2)
%
% One-class classifier put into a linear programming framework. From
% the data x the distance matrix is computed, and on this t
www.eeworm.com/read/430506/1929491
m~ minballdemo1.m~
% Demo on finind minimal ball around data.
% loads data
data=load('data1');
% compute minimal ball around data (one-class SVM) in 'RBF" space
ker='rbf';
arg=0.5;
[Alpha, R, mi2 ] = minball(data.X,ke
www.eeworm.com/read/373460/2761925
m~ minballdemo1.m~
% Demo on finind minimal ball around data.
% loads data
data=load('data1');
% compute minimal ball around data (one-class SVM) in 'RBF" space
ker='rbf';
arg=0.5;
[Alpha, R, mi2 ] = minball(data.X,ke
www.eeworm.com/read/367442/9748104
m~ minballdemo1.m~
% Demo on finind minimal ball around data.
% loads data
data=load('data1');
% compute minimal ball around data (one-class SVM) in 'RBF" space
ker='rbf';
arg=0.5;
[Alpha, R, mi2 ] = minball(data.X,ke
www.eeworm.com/read/389322/8533422
m svmtrain.m
function svm = svmTrain(svmType,X,Y,ker,p1,p2)
% SVM Classification:
% svm = svmTrain('svc_c',x,y,ker,C);
% svm = svmTrain('svc_nu',x,y,ker,nu);
%
% One-Class SVM:
% svm = svmTrain('svm_one_cl