开课单位--浙江大学
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Interactive Paths Embedding for Semantic Proximity Search on Heterogeneous Graphs[异构图上语义接近搜索的交互式路径嵌入]
Zemin Liu(浙江大学) Semantic proximity search on heterogeneous graph is an important task, and is useful for many applications. It aims to measure the proximity between t...
热度:37
Zemin Liu(浙江大学) Semantic proximity search on heterogeneous graph is an important task, and is useful for many applications. It aims to measure the proximity between t...
热度:37
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Off-policy Recommendation System without Exploration[未经探索的非策略推荐系统]
Chengwei Wang(浙江大学) Off-policy Recommendation System without Exploration
热度:30
Chengwei Wang(浙江大学) Off-policy Recommendation System without Exploration
热度:30
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A Trigger-Sense Memory Flow Framework for Joint Entity and Relation Extraction[一种用于联合实体和关系提取的触发感知记忆流框架]
Yongliang Shen(浙江大学) A Trigger-Sense Memory Flow Framework for Joint Entity and Relation Extraction
热度:116
Yongliang Shen(浙江大学) A Trigger-Sense Memory Flow Framework for Joint Entity and Relation Extraction
热度:116
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A Flexible and Efficient Algorithm for Regularized Fisher Discriminant Analysis[一种灵活高效的算法用于正则Fisher判别分析]
Zhihua Zhang(浙江大学) Fisher linear discriminant analysis (LDA) and its kernel extension—kernel discriminant analysis (KDA)—are well known methods that consider...
热度:63
Zhihua Zhang(浙江大学) Fisher linear discriminant analysis (LDA) and its kernel extension—kernel discriminant analysis (KDA)—are well known methods that consider...
热度:63
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Can We Learn a Template-Independent Wrapper for News Article Extraction from a Single Training Site?[我们可以学习一个单独的培训网站的新闻文章的独立包装的模板吗?]
Junfeng Wang(浙江大学) Automatic news extraction from news pages is important in many Web applications such as news aggregation. However, the existing news extraction method...
热度:69
Junfeng Wang(浙江大学) Automatic news extraction from news pages is important in many Web applications such as news aggregation. However, the existing news extraction method...
热度:69
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Unsupervised Feature Selection for Multi-Cluster Data[多集群数据的无监督特征选择]
Deng Cai(浙江大学) In many data analysis tasks, one is often confronted with very high dimensional data. Feature selection techniques are designed to find the relevant f...
热度:186
Deng Cai(浙江大学) In many data analysis tasks, one is often confronted with very high dimensional data. Feature selection techniques are designed to find the relevant f...
热度:186
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