代码搜索：Classifier
找到约 4,824 项符合「Classifier」的源代码
代码结果 4,824
www.eeworm.com/read/255755/12057247
m qdc.m
%QDC Quadratic Bayes Normal Classifier (Bayes-Normal-2)
%
% W = QDC(A,R,S)
%
% INPUT
% A Dataset
% R,S Regularization parameters, 0
www.eeworm.com/read/150905/12248300
m qdc.m
%QDC Quadratic Bayes Normal Classifier (Bayes-Normal-2)
%
% W = QDC(A,R,S)
%
% INPUT
% A Dataset
% R,S Regularization parameters, 0
www.eeworm.com/read/150760/12266163
m~ contents.m~
% Linear classifier based on the Fisher linear discriminat.
%
% fldqp - Computes Fisher's Linear Discriminat using QP.
% lfld - Learns Fisher's Linear Discriminat.
%
% About: Statistical Patt
www.eeworm.com/read/149739/12352674
m qdc.m
%QDC Quadratic Bayes Normal Classifier (Bayes-Normal-2)
%
% W = QDC(A,R,S)
%
% INPUT
% A Dataset
% R,S Regularization parameters, 0
www.eeworm.com/read/223154/14651868
m demo2.m
% DEMO2 demonstrates the use of the data set III from the BCI competition 2003 for
% The demo shows the offline analysis for obtaining a classifier and
% uses a jack-knife method (leave-one-
www.eeworm.com/read/213492/15133814
m~ contents.m~
% Linear classifier based on the Fisher linear discriminat.
%
% fldqp - Computes Fisher's Linear Discriminat using QP.
% lfld - Learns Fisher's Linear Discriminat.
%
% About: Statistical Patt
www.eeworm.com/read/213240/15140016
m dlpdda.m
function W = dlpdda(x,nu,usematlab)
%DLPDDA Distance Linear Programming Data Description attracted by the Average distance
%
% W = DLPDDA(D,NU)
%
% This one-class classifier works directly on th
www.eeworm.com/read/13911/286703
m svmmulticlassoneagainstone.m
function [xsup,w,b,nbsv,classifier,pos,obj]=svmmulticlassoneagainstone(x,y,nbclass,c,epsilon,kernel,kerneloption,verbose,warmstart);
xsup=[];
w=[];
b=[];
pos=[];
SigmaOut=[];
span=1;
classifie
www.eeworm.com/read/13911/286704
m svmmulticlassoneagainstone.m
function [xsup,w,b,nbsv,classifier,pos,obj]=svmmulticlassoneagainstone(x,y,nbclass,c,epsilon,kernel,kerneloption,verbose,warmstart);
xsup=[];
w=[];
b=[];
pos=[];
SigmaOut=[];
span=1;
classifie
www.eeworm.com/read/13911/287308
m svmclass.m
function [y,dfce] = svmclass(X,model)
% SVMCLASS Support Vector Machines Classifier.
%
% Synopsis:
% [y,dfce] = svmclass( X, model )
%
% Description:
% [y,dfce] = svmclass( X, model ) classifies inp