文件名称:MIL-Ensemble
- 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：
- 2012-11-26
- 文件大小：
- 3.86mb
- 下载次数：
- 0次
- 提 供 者：
- w**
- 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
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
(系统自动生成,下载前可以参看下载内容)
下载文件列表
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
............\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