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/148788/12426046
m svcplot.m
function [x,y,z]=svcplot(X,Y,ker,alpha,bias,par)
%This is a routine to plot 2D classification problem with SVM
%
% [x,y,z]=svcplot(X,Y,ker,alpha,bias,par)
%
% Parameters:
%
% X:
www.eeworm.com/read/148707/12436724
cpp 7x.cpp
// Classify() Return a group letter using classification rules
char Classify (float age, float wt, int feedings, float activity)
{ int ageclass1, feedclass, class1, class2;
char group;
if ((wt
www.eeworm.com/read/336314/12451442
m nnd10lc.m
function nnd10lc(cmd,arg1,arg2,arg3)
%NND10LC Linear pattern classification demonstration.
% First Version, 8-31-95.
%==================================================================
% CON
www.eeworm.com/read/130698/14177502
m nnd10lc.m
function nnd10lc(cmd,arg1,arg2,arg3)
%NND10LC Linear pattern classification demonstration.
% First Version, 8-31-95.
%==================================================================
% CON
www.eeworm.com/read/130671/14179016
m svc.m
function [nsv, alpha, b0] = svc(X,Y,ker,C)
%SVC Support Vector Classification
%
% Usage: [nsv alpha bias] = svc(X,Y,ker,C)
%
% Parameters: X - Training inputs
% Y - Training t
www.eeworm.com/read/225111/14555555
asv svc.asv
function [nsv, alpha, b0] = svc(X,Y,ker,C)
%SVC Support Vector Classification
%
% Usage: [nsv alpha bias] = svc(X,Y,ker,C)
%
% Parameters: X - Training inputs
% Y - Training t
www.eeworm.com/read/225111/14555557
m svc.m
function [nsv, alpha, b0] = svc(X,Y,ker,C)
%SVC Support Vector Classification
%
% Usage: [nsv alpha bias] = svc(X,Y,ker,C)
%
% Parameters: X - Training inputs
% Y - Training t
www.eeworm.com/read/223154/14651944
m bci4eval.m
function [o] = bci4eval(tsd,TRIG,cl,pre,post,Fs)
% BCI4eval evaluations a BCI-result as suggested in [1,2].
% - It returns the classification error, the signal to noise ratio,
% the mutual in
www.eeworm.com/read/122236/14712371
m nnd10lc.m
function nnd10lc(cmd,arg1,arg2,arg3)
%NND10LC Linear pattern classification demonstration.
% First Version, 8-31-95.
%==================================================================
% CON
www.eeworm.com/read/215983/15031190
m nnd10lc.m
function nnd10lc(cmd,arg1,arg2,arg3)
%NND10LC Linear pattern classification demonstration.
% First Version, 8-31-95.
%==================================================================
% CON