代码搜索：classification
找到约 3,679 项符合「classification」的源代码
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m main.m
% Face Recognition with Artificial Neural Networks (ANN)
% L Png, MSc Computation, UMIST, 2004. Supervisor: Dr H. Qiao
% ----------------------------------------------------------------
% In this p
www.eeworm.com/read/246286/12742896
txt readme.txt
The Java Machine Learning Library readme documentation. This document covers the
basic documentation of the library. The Java Machine Learning Library is
licensed under GNU-GPL.
More elaborate
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m contents.m
% Support Vector Machine Toolbox
% Version 2.0-Aug-1998
%
% Support Vector Classification
%
% svc - Calculate support vectors for classification
% svcplot - Plot 2 dimensional clas
www.eeworm.com/read/143441/12874917
m contents.m
% Support Vector Machine Toolbox
% Version 2.0-Aug-1998
%
% Support Vector Classification
%
% svc - Calculate support vectors for classification
% svcplot - Plot 2 dimensional clas
www.eeworm.com/read/329420/12955652
m contents.m
% Support Vector Machine Toolbox
% Version 2.0-Aug-1998
%
% Support Vector Classification
%
% svc - Calculate support vectors for classification
% svcplot - Plot 2 dimensional clas
www.eeworm.com/read/139482/13154433
txt readme.txt
========================================================================
CONSOLE APPLICATION : classification
========================================================================
App
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java catonetestresult.java
package shared;
import java.lang.*;
/** This object contains the result information on one instance passed through
* an inducer.
* @author James Louis 12/08/2000 Ported to Java.
*/
public
www.eeworm.com/read/324304/13273563
m contents.m
% Support Vector Machine Toolbox
% Version 2.0-Aug-1998
%
% Support Vector Classification
%
% svc - Calculate support vectors for classification
% svcplot - Plot 2 dimensional clas
www.eeworm.com/read/137160/13341832
m labeld.m
%LABELD Find labels of classification dataset (perform crisp classification)
%
% LABELS = LABELD(Z)
% LABELS = Z*LABELD
% LABELS = LABELD(A,W)
% LABELS = A*W*LABELD
% LABELS = LABELD(Z,THRE
www.eeworm.com/read/137160/13341965
m getcost.m
%GETCOST Get classification cost matrix
%
% [COST,LABLIST] = GETCOST(A)
%
% Returns the classification cost matrix as defined for the dataset A.
% An empty cost matrix is interpreted as equal costs f