Semi supervised support vector machine is realized by MATLAB, which can be used in classification problems.

Filename	Size	Update
最优的TSVM\consist.m	2674	2015-09-08
最优的TSVM\contents.m	1640	2015-09-08
最优的TSVM\demsvml1.m	3670	2015-09-25
最优的TSVM\example1\model	662839	2015-09-26
最优的TSVM\example1\model1	660834	2015-09-26
最优的TSVM\example1\predictions	7059	2015-09-26
最优的TSVM\example1\test.dat	536475	1997-11-17
最优的TSVM\example1\train.dat	2154343	1997-11-17
最优的TSVM\example1\words	69569	1997-11-21
最优的TSVM\example2\model	244433	2015-09-23
最优的TSVM\example2\model1	244001	2015-09-26
最优的TSVM\example2\model1.traindata	549515	2015-09-23
最优的TSVM\example2\predictions	6926	2015-09-26
最优的TSVM\example2\test.dat	536475	1999-07-06
最优的TSVM\example2\train_induction.dat	10666	1999-07-19
最优的TSVM\example2\train_transduction.dat	546368	2015-09-23
最优的TSVM\example2\trans_predictions	17128	2015-09-26
最优的TSVM\example2\words	69569	1999-07-06
最优的TSVM\example3\test.dat	124	2002-07-03
最优的TSVM\example3\train.dat	405	2002-07-03
最优的TSVM\svml.m	5498	2015-09-08
最优的TSVM\svmlfwd.m	1694	2015-09-24
最优的TSVM\svmlopt.m	11320	2015-09-08
最优的TSVM\svmlread.m	2765	2015-09-26
最优的TSVM\svmltrain.m	2844	2015-09-25
最优的TSVM\svmlwrite.m	2180	2015-09-26
最优的TSVM\svm_classify.exe	32306	2015-09-08
最优的TSVM\svm_classify.m	2157	2015-09-25
最优的TSVM\svm_learn.exe	108871	2015-09-08
最优的TSVM\svm_learn.m	5117	2015-09-08
最优的TSVM\svm_light\kernel.h	1999	2004-05-15
最优的TSVM\svm_light\LICENSE.txt	2195	2004-05-15
最优的TSVM\svm_light\Makefile	3707	2008-10-09
最优的TSVM\svm_light\svm_classify.c	7139	2008-10-09
最优的TSVM\svm_light\svm_common.c	25449	2008-10-09
最优的TSVM\svm_light\svm_common.h	12759	2008-10-09
最优的TSVM\svm_light\svm_hideo.c	29667	2004-09-04
最优的TSVM\svm_light\svm_learn.c	135887	2004-08-28
最优的TSVM\svm_light\svm_learn.h	8580	2004-07-16
最优的TSVM\svm_light\svm_learn_main.c	17747	2008-10-09
最优的TSVM\svm_light\svm_loqo.c	7124	2004-07-15
最优的TSVM\tsvm.m	2607	2015-09-25
最优的TSVM\说明.txt	150	2015-09-09
最优的TSVM\example1	0	2015-09-26
最优的TSVM\example2	0	2015-09-26
最优的TSVM\example3	0	2015-09-26
最优的TSVM\svm_light	0	2015-09-26
最优的TSVM	0	2015-10-13

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