文件名称:MALSAR1.1
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多种多任务学习算法的工具箱 有代码有使用手册 matlab版-the toolbox of multi-task learning algorithms (matlab version)
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下载文件列表
data
....\Newsgroup
....\.........\comp.vs.sci
....\.........\...........\task1.mat
....\.........\...........\task2.mat
....\.........\rec.vs.talk
....\.........\...........\Task1.mat
....\.........\...........\Task2.mat
....\school.mat
examples
........\example_CMTL.m
........\example_Dirty.m
........\example_iMSF.m
........\example_L21.m
........\example_Lasso.m
........\example_LSSMTC.m
........\example_msmtfl.m
........\example_mtl_classify.m
........\example_rMTFL.m
........\example_Robust.m
........\example_SRMTL.m
........\example_SRMTL_spcov.m
........\example_Trace.m
........\LeastCMTLExp_1.pdf
........\LeastCMTLExp_2.pdf
........\LeastDirtyExp.pdf
........\LeastL21Exp.pdf
........\LeastLassoExp.pdf
........\LeastmsmtflExp.pdf
........\LeastrMTFLExp.pdf
........\LeastRMTLExp.pdf
........\LeastSRMTLExp.pdf
........\LeastSRMTLExp_1.pdf
........\LeastSRMTLExp_2.pdf
........\LeastSRMTLExp_spinv_1.pdf
........\LeastSRMTLExp_spinv_2.pdf
........\LeastTraceExp.pdf
........\LeastTraceExp_2.pdf
........\LSSMTC_acc.pdf
........\LSSMTC_nmi.pdf
........\RMTL.png
........\train_and_test
........\..............\CrossValidation1Param.m
........\..............\eval_MTL_mse.m
........\..............\mtSplitPerc.m
........\..............\test_script.m
MALSAR
......\c_files
......\.......\eplb
......\.......\....\eplb.c
......\.......\....\eplb.mexmaci64
......\.......\....\eplb.mexw32
......\.......\....\eplb.mexw64
......\.......\....\eplb_old.c
......\.......\....\epph.h
......\.......\flsa
......\.......\....\flsa.c
......\.......\....\flsa.h
......\.......\....\flsa.mexglx
......\.......\....\flsa.mexmaci64
......\.......\....\flsa.mexw32
......\.......\....\flsa.mexw64
......\.......\....\sfa.h
......\.......\prf_lbm
......\.......\.......\prf_lbm.cpp
......\.......\.......\prf_lbm.mexmaci64
......\.......\.......\prf_lbm.mexw32
......\.......\.......\prf_lbm.mexw64
......\.......\readme.txt
......\functions
......\.........\cASO
......\.........\....\bsa_ihb.m
......\.........\....\Least_CASO.m
......\.........\....\Logistic_CASO.m
......\.........\CMTL
......\.........\....\bsa_ihb.m
......\.........\....\Least_CMTL.m
......\.........\....\Logistic_CMTL.m
......\.........\dirty
......\.........\.....\diagonalize.m
......\.........\.....\L11norm.m
......\.........\.....\L1infnorm.m
......\.........\.....\Least_Dirty.m
......\.........\.....\prf_lbm.mexw64
......\.........\.....\proximalL11norm.m
......\.........\.....\proximalL1infnorm.m
......\.........\.....\_Example.m
......\.........\iMSF
......\.........\....\Construct_iMSF.m
......\.........\....\Least_iMSF.m
......\.........\....\Logistic_iMSF.m
......\.........\....\MultiSource_LeastR.m
......\.........\....\MultiSource_LogisticR.m
......\.........\....\nchoose.m
......\.........\joint_feature_learning
......\.........\......................\Least_L21.m
......\.........\......................\Logistic_L21.m
......\.........\......................\testParallel.m
......\.........\Lasso
......\.........\.....\Least_Lasso.m