机译:多标签分类的受监管主题模型
College of Computer Science and Technology, Jilin University, Changchun 130012, China,Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University, Changchun 130012, China;
College of Computer Science and Technology, Jilin University, Changchun 130012, China,Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University, Changchun 130012, China;
College of Computer Science and Technology, Jilin University, Changchun 130012, China,Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University, Changchun 130012, China;
Supervised topic model; Multi-label classification; Label frequency; Label dependency;
机译:加权词监督主题模型:多标签文档分类
机译:LF-LDA:多标签文档分类的监督主题模型
机译:基于任意特征的多标签监督主题模型用于基因功能预测
机译:多标签文本分类的监督主题混合模型最小分类错误率训练
机译:在自由样式文本中发现可解释的主题:诊断,罕见主题和主题监督。
机译:基于任意特征的多标签监督主题模型用于基因功能预测
机译:具有主题建模的多标签DataLess文本分类