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function display(ker) % DISPLAY % % Display a textual representation of a polynomial kernel object. % % display(ker); % % File : @polynomial/display.m % % Date : Tuesday

function s = char(ker) % CHAR % % Return a textual representation of a polynomial kernel object. % % str = char(ker); % % File : @polynomial/char.m % % Date : Tuesday 12t

function display(ker) % DISPLAY % % Display a textual representation of a linear kernel object. % % display(ker); % % File : @linear/display.m % % Date : Tuesday 12th Se

function s = char(ker) % CHAR % % Return a textual representation of a linear kernel object. % % str = char(ker); % % File : @linear/char.m % % Date : Tuesday 12th Septe

function svcplot(X,Y,ker,alpha,bias,par) %---------S200502106 郑黎方 --------- %画图 %适用于2维特征，两类情况识别 % % [x,y,z]=svcplot(X,Y,ker,alpha,bias,par) % % 输入参数:同svm168.m % if (na

% Contents Kernel Methods package % % % cout.m % % % svmclass.m % % % % svmreg.m % % givrot.m % % % % svmkernel.m % % % % monqp.m % % % % svmclassnpa.m %

function [J,lam] = cout(H,x,y,C,ind,c,A,b,lambda) % [J,yx] = cout(H,x,b,C,indd,c,A,b,lambda); [n,m] = size(H); X = zeros(n,1); posok = find(ind > 0); posA = find(ind==0); % l

function [u,z] = mwustat(data1,data2) % [u,z] = mwustat(data1,data2) % % mwustat.m: given vectors data1 and data2, the Mann-Whitney U statistic is % returned along with the significance statistic Z.

% This is a set of m. files that provides functions % for AUC optimization by SVM and rankboost. most of these files % have been used for producing the results in the SVM and ROC curve % Te

function [y,votes] = mvsvmclass(X,model) % MVSVMCLASS Majority voting multi-class SVM classifier. % % Synopsis: % [y,votes] = mvsvmclass(X,model) % % Description: % [y,votes] = mvsvmclass(X,model) m