… multi-label feature selection and classification on five public … (label-correlation based
multi-label classification algorithm … Efficient and robust feature selection via joint i2, 1-norms …

… feature selection result shared by multiple labels.Motivated by this,we propose a missing
feature multi-label … complementary feature matrix is obtained by learning the feature correlation …

… learning, an algorithm of global and local multi-view multi-label learning machine with …
label correlations more authentic, which enhanced the performances of multi-view multi-label …

… feature selection from large weak multi⁃label data with missing labels that aims at selecting
a … embedded sample manifold structure and label correlation. Journal of Nanjing University (…

… on multi-label classification algorithm with label-specific … (joint feature selection and
classification for multi-label learningꎬ … with local feature selection and local label correlation[J]. …

… we call label-specific feature-based multi-label manifold … Multi-label learning with global
and local label correlation [J]. … Multi-label feature selection via feature manifold learning and …

… ,most of them only improve on one aspect of label correlation and feature selection,these …
a multi-label classification algorithm based on feature selection and label correlation. Firstly,…

… 方法( multi-label feature selection method based on correlation … score for semi-supervised
multi-label feature selection [ J]. … -supervised feature selection[C] / / In Proceedings of the Joint …

… 特征选择算法(joint feature selection and classification for multilabel … instance correlation
functions for multilabel classification[J]. … of existing multi-label feature selection algorithms were …

… three multi-label feature selection methods on nine multi-label … Multi-label feature selection
algorithm based on joint mutual … Multi-label learning with global and local label correlation[J]. …