代码搜索：classifiers
找到约 2,305 项符合「classifiers」的源代码
代码结果 2,305
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bbl manual.bbl
\begin{thebibliography}{}
\bibitem[Boser et~al., 1992]{Boser1992}
Boser, B., Guyon, I., and Vapnik, V.~N. (1992).
\newblock A training algorithm for optimal margin classifiers.
\newblock In {\em
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java binaryrelevanceclassifier.java
package mulan.classifier;
import weka.classifiers.Classifier;
import weka.core.Attribute;
import weka.core.Instance;
import weka.core.Instances;
import weka.filters.Filter;
import weka.filters
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java invertedindex.java
package ir.vsr;
import java.io.*;
import java.util.*;
import java.lang.*;
import ir.utilities.*;
import ir.classifiers.*;
/**
* An inverted index for vector-space information retrieval. Contains
*
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java invertedindex.java
package ir.vsr;
import java.io.*;
import java.util.*;
import java.lang.*;
import ir.utilities.*;
import ir.classifiers.*;
/**
* An inverted index for vector-space information retrieval. Contains
*
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cascade all_hands_combined.cascade
# cascaded classifier
ClassifierCascade "combined", fan, 25x25, ratio 0.8 (fpr:1, dr:1, successful)
6 branches.
COMMON BRANCH
6 strong classifiers.
STRONG classifier 0 (fpr:0.397839, dr:0.953831):
9
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java stringkernel.java
package weka.classifiers.functions.supportVector;
import weka.core.Capabilities;
import weka.core.Instance;
import weka.core.Instances;
import weka.core.Option;
import weka.core.SelectedTag;
import w
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java stringkernel.java
package weka.classifiers.functions.supportVector;
import weka.core.Capabilities;
import weka.core.Instance;
import weka.core.Instances;
import weka.core.Option;
import weka.core.SelectedTag;
import w
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java stringkernel.java
package weka.classifiers.functions.supportVector;
import weka.core.Attribute;
import weka.core.Capabilities;
import weka.core.Instance;
import weka.core.Instances;
import weka.core.Option;
import wek
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java stringkernel.java
package weka.classifiers.functions.supportVector;
import weka.core.Attribute;
import weka.core.Capabilities;
import weka.core.Instance;
import weka.core.Instances;
import weka.core.Option;
import wek
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java flattentruelabelsclassifier.java
package mulan.classifier;
import weka.classifiers.Classifier;
import weka.core.Attribute;
import weka.core.FastVector;
import weka.core.Instance;
import weka.core.Instances;
import weka.core.Spa