开课单位--东南大学
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Towards mitigating the class-imbalance problem for partial label learning[缓解部分标签学习的班级失衡问题]
Jing Wang(东南大学) Partial label (PL) learning aims to induce a multi-class classifier from training examples where each of them is associated with a set of candidate la...
热度:31
Jing Wang(东南大学) Partial label (PL) learning aims to induce a multi-class classifier from training examples where each of them is associated with a set of candidate la...
热度:31
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Multi-level Hyperedge Distillation for Social Linking Prediction on Sparsely Observed Networks[稀疏观测网络社会联系预测的多级超边蒸馏]
Xiangguo Sun(东南大学) Multi-level Hyperedge Distillation for Social Linking Prediction on Sparsely Observed Networks
热度:61
Xiangguo Sun(东南大学) Multi-level Hyperedge Distillation for Social Linking Prediction on Sparsely Observed Networks
热度:61
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Discovering Simple Mappings Between Relational Database Schemas and Ontologies[在关系数据库模式和本体之间发现简单的映射]
Yuzhong Qu(东南大学) Ontologies proliferate with the growth of the Semantic Web. However, most of data on theWeb are still stored in relational databases. Therefore, it is...
热度:51
Yuzhong Qu(东南大学) Ontologies proliferate with the growth of the Semantic Web. However, most of data on theWeb are still stored in relational databases. Therefore, it is...
热度:51
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Multi-Label Learning by Exploiting Label Dependency[利用标签依赖性进行多标签学习]
Min-Ling Zhang(东南大学) In multi-label learning, each training example is associated with a set of labels and the task is to predict the proper label set for the unseen examp...
热度:75
Min-Ling Zhang(东南大学) In multi-label learning, each training example is associated with a set of labels and the task is to predict the proper label set for the unseen examp...
热度:75
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