基于混合核极限学习机的多标签学习研究

Multi-Label Learning Based on Mixed Kernel Extreme Learning Machine

为了获得更优算法,将加入混合核的极限学习机算法应用于多标签学习中。首先在极限学习机算法中通过混合核函数将特征映射到高维空间,然后对原标签空间建立混合核极限学习机模型求得输出权值,最后通过模型计算预测未知样本的标签情况。

In order to obtain a better algorithm,the extreme learning machine algorithm that joins the mixed kernel is applied to multi-label learning.Firstly,the feature is mapped to the high-dimensional space by the mixed kernel function in the extreme learning machine algorithm.Then,the hybrid kernel extreme learning machine model is used to obtain the output weight of the original label space.Finally,the model is used to predict the label of the unknown sample.