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/133943/5897330
m hme_class_plot.m
function fh=hme_class_plot(net, nodes_info, train_data, test_data)
%
% Use this function ONLY when the input dimension is 2
% and the problem is a classification one.
% We assume that each row of
www.eeworm.com/read/122504/6065340
java simpleclassifier.java
/*
* SimpleClassifier.java
*
* Created on March 28, 2001, 2:21 PM
*/
package uk.ac.leeds.ccg.geotools.classification;
import com.sun.java.util.collections.LinkedList;
import com.sun.jav
www.eeworm.com/read/286592/6282706
asv svc.asv
function [nsv, alpha, b0,t] = svc(X,Y,ker,C)
%SVC Support Vector Classification
%
% Usage: [nsv alpha bias] = svc(X,Y,ker,C)
%
% Parameters: X - Training inputs
% Y - Training
www.eeworm.com/read/286592/6282730
m oldsvc.m
function [nsv, alpha, b0,t] = oldsvc(X,Y,ker,C)
%SVC Support Vector Classification
%
% Usage: [nsv alpha bias] = svc(X,Y,ker,C)
%
% Parameters: X - Training inputs
% Y - Train
www.eeworm.com/read/286592/6282736
m svc.m
function [nsv, alpha, b0,t] = svc(X,Y,ker,C)
%SVC Support Vector Classification
%
% Usage: [nsv alpha bias] = svc(X,Y,ker,C)
%
% Parameters: X - Training inputs
% Y - Training
www.eeworm.com/read/120147/6303502
m nnd10lc.m
function nnd10lc(cmd,arg1,arg2,arg3)
%NND10LC Linear pattern classification demonstration.
% First Version, 8-31-95.
%==================================================================
% CON
www.eeworm.com/read/487815/6500670
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/487843/6501078
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/476497/6754610
java somcolorui.java
package somcolorapp;
/**
* Package somcolorapp
* Classification des couleurs avec un r閟eau de Kohonen.
* R閟eaux Neauronaux, Vuibert 2006.
* Jean-Philippe Rennard
* version 1.0, 17/3/2006
www.eeworm.com/read/263805/11341489
m nnd10lc.m
function nnd10lc(cmd,arg1,arg2,arg3)
%NND10LC Linear pattern classification demonstration.
% First Version, 8-31-95.
%==================================================================
% CON