文件名称:WELL
- 所属分类：
- matlab例程
- 资源属性：
- [Matlab] [源码]
- 上传时间：
- 2012-11-26
- 文件大小：
- 1.21mb
- 下载次数：
- 0次
- 提 供 者：
- litin*****
- 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
它试图解决的问题，薄弱的标签是一个多学习一种新标签的问题，其中只有部分标签集与每个提供相关培训的例子-This package includes the MATLAB code of the multi-label learning algorithm WELL. It tries to deal with weak label problem which is a new kind of multi-label learning problem, where only a partial label set associated with each training example is provided. A Readme file and an example file are included in the package
(系统自动生成,下载前可以参看下载内容)
下载文件列表
WELL\code\@rbf\CHAR.M
....\....\....\DISPLAY.M
....\....\....\EVALUATE.C
....\....\....\EVALUATE.DLL
....\....\....\EVALUATE.M
....\....\....\evaluate.mexlx
....\....\....\evaluate.mexsol
....\....\....\EVALUATE.O
....\....\....\mexversion.o
....\....\....\R.M
....\....\....\rbf.m
....\....\call_WELL.asv
....\....\call_WELL.m
....\....\evaluation\auroc.m
....\....\..........\Average_precision.m
....\....\..........\Ave_AUROC.m
....\....\..........\coverage.m
....\....\..........\Hamming_loss.m
....\....\..........\One_error.m
....\....\..........\PRF1.m
....\....\..........\Ranking_loss.m
....\....\..........\roc.m
....\....\..........\slparseprops.m
....\....\get_prediction.asv
....\....\get_prediction.m
....\....\learn_kernel.asv
....\....\learn_kernel.m
....\....\max_min_norm.asv
....\....\max_min_norm.m
....\....\QP.m
....\....\weak_label.m
....\example\evaluation\auroc.m
....\.......\..........\Average_precision.m
....\.......\..........\Ave_AUROC.m
....\.......\..........\coverage.m
....\.......\..........\Hamming_loss.m
....\.......\..........\One_error.m
....\.......\..........\PRF1.m
....\.......\..........\Ranking_loss.m
....\.......\..........\roc.m
....\.......\..........\slparseprops.m
....\.......\main.m
....\.......\yeast data\yeast_data.mat
....\.......\..........\Yeast_groundtruth.mat
....\.......\..........\yeast_rate0.1.mat
....\.......\..........\yeast_rate0.2.mat
....\.......\..........\yeast_rate0.3.mat
....\.......\..........\yeast_rate0.4.mat
....\.......\..........\yeast_rate0.5.mat
....\.......\..........\yeast_rate0.6.mat
....\.......\..........\yeast_rate0.7.mat
....\.......\..........\yeast_rate0.8.mat
....\.......\..........\yeast_rate0.9.mat
....\readme.txt
....\code\@rbf
....\....\evaluation
....\example\evaluation
....\.......\yeast data
....\code
....\example
WELL
....\....\....\DISPLAY.M
....\....\....\EVALUATE.C
....\....\....\EVALUATE.DLL
....\....\....\EVALUATE.M
....\....\....\evaluate.mexlx
....\....\....\evaluate.mexsol
....\....\....\EVALUATE.O
....\....\....\mexversion.o
....\....\....\R.M
....\....\....\rbf.m
....\....\call_WELL.asv
....\....\call_WELL.m
....\....\evaluation\auroc.m
....\....\..........\Average_precision.m
....\....\..........\Ave_AUROC.m
....\....\..........\coverage.m
....\....\..........\Hamming_loss.m
....\....\..........\One_error.m
....\....\..........\PRF1.m
....\....\..........\Ranking_loss.m
....\....\..........\roc.m
....\....\..........\slparseprops.m
....\....\get_prediction.asv
....\....\get_prediction.m
....\....\learn_kernel.asv
....\....\learn_kernel.m
....\....\max_min_norm.asv
....\....\max_min_norm.m
....\....\QP.m
....\....\weak_label.m
....\example\evaluation\auroc.m
....\.......\..........\Average_precision.m
....\.......\..........\Ave_AUROC.m
....\.......\..........\coverage.m
....\.......\..........\Hamming_loss.m
....\.......\..........\One_error.m
....\.......\..........\PRF1.m
....\.......\..........\Ranking_loss.m
....\.......\..........\roc.m
....\.......\..........\slparseprops.m
....\.......\main.m
....\.......\yeast data\yeast_data.mat
....\.......\..........\Yeast_groundtruth.mat
....\.......\..........\yeast_rate0.1.mat
....\.......\..........\yeast_rate0.2.mat
....\.......\..........\yeast_rate0.3.mat
....\.......\..........\yeast_rate0.4.mat
....\.......\..........\yeast_rate0.5.mat
....\.......\..........\yeast_rate0.6.mat
....\.......\..........\yeast_rate0.7.mat
....\.......\..........\yeast_rate0.8.mat
....\.......\..........\yeast_rate0.9.mat
....\readme.txt
....\code\@rbf
....\....\evaluation
....\example\evaluation
....\.......\yeast data
....\code
....\example
WELL