Description: This toolbox contains re-implementations of four different multi-instance learners, i.e. Diverse Density, Citation-kNN, Iterated-discrim APR, and EM-DD. Ensembles of these single multi-instance learners can be built with this toolbox
- [Classification-MatLab-Toolbox] - pattern recognition Matlab toolbox, incl
- [EM] - Detailed briefings on the EM, coherent,
- [EM] - Matlab language used to write the EM (Ex
- [orensemble] - The program implements three large-margi
- [KNN] - matlab source KNN classification
- [adaboost] - AdaBoost many relevant information, the
- [InsDif] - Multi-label learning by instance differe
- [RBFMIP] - RBFMIP is a package for training multi-i
- [NeC45] - NeC4.5 is a variant of C4.5 decision tre
File list (Check if you may need any files):
MIL-Ensemble
............\Data Preparation
............\................\10-fold cross-validation
............\................\........................\divide_10fold_Musk1.m
............\................\........................\divide_10fold_Musk2.m
............\................\musk data from UCI ML Repository
............\................\................................\clean1.data
............\................\................................\...........\clean1.data
............\................\................................\clean1.data.Z
............\................\................................\clean1.info
............\................\................................\clean1.names
............\................\................................\clean2.data
............\................\................................\...........\clean2.data
............\................\................................\clean2.data.Z
............\................\................................\clean2.info
............\................\................................\clean2.names
............\................\................................\Index
............\................\Preprocessed data
............\................\.................\Musk1
............\................\.................\.....\all.txt
............\................\.................\.....\molecule_num.TXT
............\................\.................\Musk2
............\................\.................\.....\all.txt
............\................\.................\.....\molecule_num.TXT
............\Ensemble Algorithm
............\..................\APR
............\..................\...\Bagging_APR_Musk1.m
............\..................\...\Bagging_APR_Musk2.m
............\..................\auxiliary function
............\..................\..................\copy.m
............\..................\C-kNN
............\..................\.....\Bagging_C_kNN_Musk1.m
............\..................\.....\Bagging_C_kNN_Musk2.m
............\..................\Diverse Density
............\..................\...............\Bagging_DD_Musk1.m
............\..................\...............\Bagging_DD_Musk2.m
............\..................\EM-DD
............\..................\.....\Bagging_EMDD_Musk1.m
............\..................\.....\Bagging_EMDD_Musk2.m
............\Individual Algorithm
............\....................\Citation KNN
............\....................\............\CKNN.m
............\....................\............\minHausdorff.m
............\....................\Diverse Density
............\....................\...............\dfpmin.m
............\....................\...............\DInstance.m
............\....................\...............\DNBag.m
............\....................\...............\DPBag.m
............\....................\...............\D_neg_log_DD.m
............\....................\...............\lnsrch.m
............\....................\...............\maxDD.m
............\....................\...............\neg_log_DD.m
............\....................\...............\PInstance.m
............\....................\...............\PNBag.m
............\....................\...............\PPBag.m
............\....................\EM-DD
............\....................\.....\EMDD.m
............\....................\.....\NLDD.m
............\....................\IDAPR
............\....................\.....\Discrim.m
............\....................\.....\Expand.m
............\....................\.....\Grow.m
............\....................\.....\IDAPR.m
............\readme.txt
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