多种多任务学习算法的工具箱 MALSAR1.1我要分享

Toolbox of multiple multi task learning algorithms malsar1.1

多任务 学习算法 工具箱 MALSAR1.1

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代码分类: 仿真计算

开发平台: matlab

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代码描述

中文说明:

多种多任务学习算法的工具箱 有代码有使用手册 matlab版。


English Description:

A variety of multi task learning algorithm toolbox, code, user manual, matlab version


代码预览

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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

........\train_and_test

........\..............\CrossValidation1Param.m

........\..............\eval_MTL_mse.m

........\..............\mtSplitPerc.m

........\..............\test_script.m

INSTALL.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