代码搜索：classification
找到约 3,679 项符合「classification」的源代码
代码结果 3,679
www.eeworm.com/read/216502/4890610
3 ctype.3
.TH CTYPE 3
.SH NAME
isalpha, isupper, islower, isdigit, isalnum, isspace, ispunct,
isprint, iscntrl, isascii \-
character classification
.SH SYNOPSIS
.B #include
.PP
.B isalpha(c)
.PP
.B
www.eeworm.com/read/347796/3163020
java lossmulticlassdecoder.java
package dragon.ir.classification.multiclass;
import dragon.matrix.vector.DoubleVector;
/**
* Loss-based Multi-class Decoder
* A multi-class decoder which predict the category of an examp
www.eeworm.com/read/316872/3604093
txt request.txt
struct request documentation
Jens Axboe 27/05/02
1.0
Index
2.0 Struct request members classification
2.1 struct request members explanation
3.0
2.0
Short explanation o
www.eeworm.com/read/268397/4252858
java lossmulticlassdecoder.java
package dragon.ir.classification.multiclass;
import dragon.matrix.vector.DoubleVector;
/**
* Loss-based Multi-class Decoder
* A multi-class decoder which predict the category of an examp
www.eeworm.com/read/268397/4252871
java nigamactivelearning.java
package dragon.ir.classification;
import dragon.ir.index.*;
import dragon.matrix.*;
import java.util.*;
/**
* Nigam Active Learning which can utilize unlabeled documents during text class
www.eeworm.com/read/382446/2636754
java perceptronclassifiertest.java
package com.aliasi.test.unit.classify;
import com.aliasi.classify.BinaryLMClassifier;
import com.aliasi.classify.Classification;
import com.aliasi.classify.PerceptronClassifier;
import com.aliasi.cla
www.eeworm.com/read/382446/2636757
java tfidfclassifiertrainertest.java
package com.aliasi.test.unit.classify;
import com.aliasi.classify.TfIdfClassifierTrainer;
import com.aliasi.classify.Classification;
import com.aliasi.classify.Classifier;
import com.aliasi.classify.
www.eeworm.com/read/369958/2788160
m nfcv.m
function [xapp,yapp,xtest,ytest,indice]=nfcv(x,y,N,k,classcode)
% USAGE
% [xapp,yapp,xtest,ytest]=nfcv(x,y,N,k)
% this is for classification with output code as -1 1
% so that the prior prob of
www.eeworm.com/read/295595/8150904
m nfcv.m
function [xapp,yapp,xtest,ytest,indice]=nfcv(x,y,N,k,classcode)
% USAGE
% [xapp,yapp,xtest,ytest]=nfcv(x,y,N,k)
% this is for classification with output code as -1 1
% so that the prior prob of
www.eeworm.com/read/294743/8209440
m 决策树代码.m
matlab 决策树cart算法源代码
function D = CART(train_features, train_targets, params, region)
% Classify using classification and regression trees
% Inputs:
% features - Train features
% targets - Trai