代码搜索:classification

找到约 3,679 项符合「classification」的源代码

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txt 1.txt

支持向量机,用于分类,含训练集与测试集。里面含有六个源程序-support vector machines for the classification, with the training set and test sets. It contains six source
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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
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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
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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
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m classifynn.m

% Author: Scott Sanner % Email: ssanner@cs.stanford.edu % Course: CS223B, Winter % Desc: From a given image, returns the classification value % % TEST = classifynn(NET, IM, MASK) function TEST = cl
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m decision_lda_final.m

% This code used to apply LDA(Linear Discriminant Analysis) to make a recognition % to images or any patterns % This code is edited by Eng. Alaa Tharwat Abd El. Mo
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m decision_dct_final.m

% This code used to apply DCT(Discrete Cosine Transform) to make a recognition % to images or any patterns % This code is edited by Eng. Alaa Tharwat Abd El. Monaa
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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
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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
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m getcost.m

%GETCOST Get classification cost matrix % % [COST,LABLIST] = GETCOST(W) % % Returns the classification cost matrix as set in the classifier W. % An empty cost matrix is interpreted as equal costs for