机译:通过l(1)-范数图嵌入的标签相关性分析进行半监督多标签特征选择
Xiamen Univ Technol, Coll Comp & Informat Engn, Xiamen 361024, Peoples R China|Chaoyang Univ Technol, Dept Informat Management, Taichung, Taiwan;
Chaoyang Univ Technol, Dept Informat Management, Taichung, Taiwan;
Xiamen Univ Technol, Coll Comp & Informat Engn, Xiamen 361024, Peoples R China;
Xiamen Univ Technol, Coll Comp & Informat Engn, Xiamen 361024, Peoples R China;
Nanjing Univ Informat Sci & Technol, Jiangsu Engn Ctr Network Monitoring, Nanjing 210044, Jiangsu, Peoples R China|Nanjing Univ Informat Sci & Technol, Sch Comp & Software, Nanjing 210044, Jiangsu, Peoples R China;
Semi-supervised learning; Feature selection; Multi-label learning; Shared-subspace learning;
机译:联合多标签分类和标签相关性以及缺少标签和特征选择
机译:具有本地判别模型和标签相关性的多标签功能选择
机译:通过标签对称的不确定性相关学习和功能冗余评估,新型多标签特征选择
机译:多标签图节点分类的半监督图嵌入
机译:利用标签相关性进行多标签分类
机译:基于高阶标签相关假设的多标签功能选择
机译:基于多标签相关性的多标签分类新特征选择方法及其在生物信息学中的应用