代码搜索：classifier

找到约 4,824 项符合「classifier」的源代码

代码结果 4,824
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m u_svcdemo.m

% ------- OSU nu-SVM CLASSIFIER TOOLBOX Demonstrations--- % % 1) Construct a linear SVM Classifier and test it % 2) Construct a nonlinear SVM Classifier (polynomial kernel) and
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m c_lindemo.m

echo off %LINDEMO demonstration for using linear SVM classifier. echo on; clc %LINDEMO demonstration for using linear SVM classifier. %#########################################################
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m u_rbfdemo.m

echo off % RBFDEMO demonstration for using nonlinear SVM classifier % with a RBF kernel. echo on; clc % RBFDEMO demonstration for using nonlinear SVM classifier % with a RBF kernel. %#####
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m u_lindemo.m

echo off %LINDEMO demonstration for using linear SVM classifier. echo on; clc %LINDEMO demonstration for using linear SVM classifier. %#########################################################
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m c_clademo.m

echo off % CLADEMO demonstration for using a contructed SVM classifier to classify % input patterns echo on; % % % NOTICE: please first run any of the first three demonstrations before %
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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
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java classifierstats.java

/* * ClassifierStats.java * * Created on March 29, 2001, 4:41 PM */ package uk.ac.leeds.ccg.geotools.classification; import uk.ac.leeds.ccg.geotools.*; import com.sun.java.util.collection
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c sample.c

/*************************************************************************/ /* */ /* Source code for use with See5/C5.0 Release 1.19 */ /* -----------------------------------------------
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m contents.m

% Support Vector Machine toolbox % Version 2.51, January 2002 % % SVM functions: % svm - create a support vector machine classifier % svmfwd - forward propagation through svm % svmkernel - c
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m isocc.m

%ISOCC True for one-class classifiers % % isocc(w) returns true if the classifier w is a one-class classifier, % outputting only classes 'target' and/or 'outlier' and having a % structure with thr
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