图 书 馆开课单位--中国科学院
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1Reasoning and Querying Web-scale Open Data based on DL-LiteA in a Divide-and-Conquer Way[基于DL LiteA的Web级开放数据分而治之的推理和查询]
Zhenzhen Gu(中国科学院) Reasoning and Querying Web-scale Open Data based on DL-LiteA in a Divide-and-Conquer Way
热度：28
Zhenzhen Gu(中国科学院) Reasoning and Querying Web-scale Open Data based on DL-LiteA in a Divide-and-Conquer Way
热度：28
2Inferring Restricted Regular Expressions with Interleaving from Positive and Negative Samples[从正负样本交错推断受限正则表达式]
Yeting Li(中国科学院) Inferring Restricted Regular Expressions with Interleaving from Positive and Negative Samples
热度：19
Yeting Li(中国科学院) Inferring Restricted Regular Expressions with Interleaving from Positive and Negative Samples
热度：19
3HIN: Hierarchical Inference Network for Document-Level Relation Extraction[HIN：用于文档级关系提取的分层推理网络]
Hengzhu Tang(中国科学院) HIN: Hierarchical Inference Network for Document-Level Relation Extraction
热度：51
Hengzhu Tang(中国科学院) HIN: Hierarchical Inference Network for Document-Level Relation Extraction
热度：51
4Graph-based Hierarchical Relevance Matching Signals for Ad-hoc Retrieval[基于图的层次相关匹配信号的自组织检索]
Xueli Yu(中国科学院) Graph-based Hierarchical Relevance Matching Signals for Ad-hoc Retrieval
热度：21
Xueli Yu(中国科学院) Graph-based Hierarchical Relevance Matching Signals for Ad-hoc Retrieval
热度：21
5Mining Dual Emotion for Fake News Detection[基于双情感挖掘的虚假新闻检测]
Xueyao Zhang(中国科学院) Mining Dual Emotion for Fake News Detection
热度：49
Xueyao Zhang(中国科学院) Mining Dual Emotion for Fake News Detection
热度：49
67Coarse-to-Fine Auto-encoder Networks (CFAN) for Real-time Face Alignment[用于实时人脸定位的粗精自动编码器网络（CFAN）]
Jie Zhang(中国科学院) Accurate face alignment is a vital prerequisite step for most face perception tasks such as face recognition, facial expression analysis and non-reali...
热度：47
Jie Zhang(中国科学院) Accurate face alignment is a vital prerequisite step for most face perception tasks such as face recognition, facial expression analysis and non-reali...
热度：47
8Statistical Consistency of Ranking Methods in A Rank-Differentiable Probability Space[排序方法在秩函数的概率空间中的统计一致性]
Yanyan Lan(中国科学院) This paper is concerned with the statistical consistency of ranking methods. Recently, it was proven that many commonly used pairwise ranking methods ...
热度：38
Yanyan Lan(中国科学院) This paper is concerned with the statistical consistency of ranking methods. Recently, it was proven that many commonly used pairwise ranking methods ...
热度：38
9Towards Combining Web Classification and Web Information Extraction: A Case Study[将网络分类与网络信息抽取相结合：一个案例研究]
Ping Luo(中国科学院) Web content analysis often has two sequential and separate steps: Web Classification to identify the target Web pages, and Web Information Extraction ...
热度：35
Ping Luo(中国科学院) Web content analysis often has two sequential and separate steps: Web Classification to identify the target Web pages, and Web Information Extraction ...
热度：35
10Distributed Classification in Peer-to-Peer Networks[点对点网络中的分布式分类研究]
Ping Luo(中国科学院) This work studies the problem of distributed classification in peer-to-peer (P2P) networks. While there has been a significant amount of work in distr...
热度：39
Ping Luo(中国科学院) This work studies the problem of distributed classification in peer-to-peer (P2P) networks. While there has been a significant amount of work in distr...
热度：39