文件名称:TCA-AAAI2012-version2.0
- 所属分类：
- 人工智能/神经网络/遗传算法
- 资源属性：
- [Matlab] [源码]
- 上传时间：
- 2014-04-10
- 文件大小：
- 9.86mb
- 下载次数：
- 0次
- 提 供 者：
- 妹*
- 相关连接：
- 无
- 下载说明：
- 别用迅雷下载，失败请重下，重下不扣分！
介绍说明－－下载内容均来自于网络，请自行研究使用
首先从一个源域中获得标记文本数据，然后对目标域自动训练文本分类器从而实现跨域的文本分类-automatically
train a precise text classifier for a target domain by using labeled text data from a related source domain.
train a precise text classifier for a target domain by using labeled text data from a related source domain.
(系统自动生成,下载前可以参看下载内容)
下载文件列表
TopicCorrAnalysis
.................\data
.................\....\comp_vs_rec.mat
.................\....\comp_vs_sci.mat
.................\....\comp_vs_talk.mat
.................\....\OrgsPeople.mat
.................\....\OrgsPlaces.mat
.................\....\PeoplePlaces.mat
.................\....\rec_vs_sci.mat
.................\....\rec_vs_talk.mat
.................\....\sci_vs_talk.mat
.................\src
.................\...\analysis.m
.................\...\jointMixtureModel.m
.................\...\mex_joint_Estep.c
.................\...\mex_joint_Estep.mexw32
.................\...\mex_joint_Estep.mexw64
.................\...\mex_joint_Mstep.c
.................\...\mex_joint_Mstep.mexw32
.................\...\mex_joint_Mstep.mexw64
.................\...\run.m
.................\...\topicCorrAnalysis.m
libclassify
...........\change.log
...........\libclassify.m
...........\libclassifycv.m
...........\liblinear.m
...........\liblinear.make.m
...........\liblinear.Makefile
...........\liblinear.README
...........\libsvm.COPYRIGHT
...........\libsvm.m
...........\libsvm.make.m
...........\libsvm.Makefile
...........\libsvm.README
...........\libsvmread.mexw64
...........\libsvmwrite.mexw64
...........\naivebayes.m
...........\predict.mexw32
...........\predict.mexw64
...........\svmpredict.mexw32
...........\svmpredict.mexw64
...........\svmscale.m
...........\svmtrain.mexw32
...........\svmtrain.mexw64
...........\train.mexw32
...........\train.mexw64
plsatools
.........\accuracy.m
.........\clusterAnalysis.m
.........\docModeling.m
.........\hungarian.m
.........\mex_EMstep.c
.........\mex_EMstep.mexw32
.........\mex_EMstep.mexw64
.........\mex_logL.c
.........\mex_logL.mexw32
.........\mex_logL.mexw64
.........\mex_Pw_d.c
.........\mex_Pw_d.mexw32
.........\mex_Pw_d.mexw64
.........\pLSA.m
.........\pLSA_EMfold.m
.........\pLSA_init.m
readme.txt