搜索资源列表
-
0下载：
集成 学 习 算法通过训练多个弱学习算法并将其结论进行合成，可以显著地提
高学习系统的泛化能力。Boosting算法作为集成学习算法的主要代表算法，得到
了广泛的研究和应用，但其研究成果大部分都集中的分类问题上。-Integrated learning algorithm through the training of more than a weak learning algorithm and its conclusions synthesis, can significantly
-
-
0下载：
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 la
-
-
0下载：
adaboost 测试，te_func_handle is a handle to the testing function of a
learning (weak) algorithm whose prototype is shown below.-te_func_handle is a handle to the testing function of a
learning (weak) algorithm whose prototype is shown
-
-
0下载：
The package includes the MATLAB code of the multi-instance multi-label learning algorithm MIMLwel, which solves the multi-instance multi-label problem under weak label assumption -The package includes the MATLAB code of the multi-instance multi-label
-
-
1下载：
boosting算法用于集成学习，包含多种弱分类器(Boosting algorithm is used for ensemble learning, and it contains many weak classifiers)
-
