代码搜索:classification

找到约 3,679 项符合「classification」的源代码

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www.eeworm.com/read/493738/6389908

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
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java classifyresult.java

/** * 分类结果 */ public class ClassifyResult { public double probility;//分类的概率 public String classification;//分类 public ClassifyResult() { this.probility = 0; this.classification
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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
www.eeworm.com/read/487815/6500677

m svmcontents.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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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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m jknifeclass.m

%JKNIFECLASS Jacknife classification %function [confmat, srmat]=jknifeclass(trndat,grp) % %Leave-one-out jacknife classification to test training data classification %TRNDAT: Training data matrix with
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texi libbow-desc.texi

Documentation and updates for `libbow' are available at http://www.cs.cmu.edu/~mccallum/bow Rainbow is a C program that performs document classification using one of several different methods, includ
www.eeworm.com/read/481257/6646672

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