代码搜索：classification
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www.eeworm.com/read/365972/9837959
readme
Libsvm is a simple, easy-to-use, and efficient software for SVM
classification and regression. It solves C-SVM classification, nu-SVM
classification, one-class-SVM, epsilon-SVM regression, and nu-SVM
www.eeworm.com/read/363416/9952404
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/363114/9967105
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/362246/10009278
m contents.m
% Bayesian classification.
%
% bayescls - Bayesian classifier with reject option.
% bayesdf - Computes decision boundary of Bayesian classifier.
% bayeserr - Computes Bayesian risk for 1D case with G
www.eeworm.com/read/362002/10024307
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/164019/10135167
m bhattach.m
function [eps]=bhattach(M1,M2,C1,C2,P1,P2)
% BHATTACH upper estimate on Bayes class. error.
% [eps]=bhattach(M1,M2,C1,C2,P1,P2)
%
% BHATTACH calculates Bhattacharya's limit, i.e. upper estimate
www.eeworm.com/read/359181/10162104
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/357670/10203266
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/280595/10310561
m contents.m
% Bayesian classification.
%
% bayescls - Bayesian classifier with reject option.
% bayesdf - Computes decision boundary of Bayesian classifier.
% bayeserr - Computes Bayesian risk for 1D case with G
www.eeworm.com/read/280576/10313033
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