代码搜索:classification
找到约 3,679 项符合「classification」的源代码
代码结果 3,679
www.eeworm.com/read/392854/8322596
m logist2fit.m
function [beta, p] = logist2Fit(y, x, addOne, w)
% LOGIST2FIT 2 class logsitic classification
% function beta = logist2Fit(y,x, addOne)
%
% y(i) = 0/1
% x(:,i) = i'th input - we optionally append
www.eeworm.com/read/367442/9747785
m multi2dicho.m
function [Idicho]=multi2dicho(Imulti,class1)
% MULTI2DICHO decomposes multi-class problem to dichotomi.
% [Idicho]=multi2dicho(Imulti,class1)
%
% MULTI2DICHO decompose multi-class classification pr
www.eeworm.com/read/147186/12578646
m logist2fit.m
function [beta, p] = logist2Fit(y, x, addOne, w)
% LOGIST2FIT 2 class logsitic classification
% function beta = logist2Fit(y,x, addOne)
%
% y(i) = 0/1
% x(:,i) = i'th input - we optionally append
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
www.eeworm.com/read/384315/8880481
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
www.eeworm.com/read/427378/8948948
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
www.eeworm.com/read/363710/9939656
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
www.eeworm.com/read/275926/10784836
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
www.eeworm.com/read/468157/6994468
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
www.eeworm.com/read/459161/7279562
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