开课单位--清华大学
1
Long Short Memory Process: Modeling Growth Dynamics of Microscopic Social Connectivity[长短记忆过程:微观社会联系的增长动态建模]
臧成熙(清华大学) How do people make friends dynamically in social networks? What are the temporal patterns for an individual increasing its social connectivity? What a...
热度:27
臧成熙(清华大学) How do people make friends dynamically in social networks? What are the temporal patterns for an individual increasing its social connectivity? What a...
热度:27
2
Estimating Treatment Effect in the Wild via Differentiated Confounder Balancing[通过差异化混杂因素平衡评估野外治疗效果]
Kun Kuang(清华大学) Estimating treatment effect plays an important role on decision making in many fields, such as social marketing, healthcare, and public policy. The ke...
热度:23
Kun Kuang(清华大学) Estimating treatment effect plays an important role on decision making in many fields, such as social marketing, healthcare, and public policy. The ke...
热度:23
3
Research 16: Tree-structured Conditional Random Fields for Semantic Annotation[研究16:用于语义注释的树结构条件随机字段]
Jie Tang(清华大学) Tree-structured Conditional Random Fields for Semantic Annotation.
热度:28
Jie Tang(清华大学) Tree-structured Conditional Random Fields for Semantic Annotation.
热度:28
4
Deep Variational Network Embedding in Wasserstein Space[嵌入Wasserstein空间的深变分网络]
Dingyuan Zhu(清华大学) Network embedding, aiming to embed a network into a low dimensional vector space while preserving the inherent structural properties of the network, h...
热度:32
Dingyuan Zhu(清华大学) Network embedding, aiming to embed a network into a low dimensional vector space while preserving the inherent structural properties of the network, h...
热度:32
5
Deep Variational Network Embedding in Wasserstein Space[Wasserstein空间中的深度变分网络嵌入]
Dingyuan Zhu(清华大学) Network embedding, aiming to embed a network into a low dimensional vector space while preserving the inherent structural properties of the network, h...
热度:21
Dingyuan Zhu(清华大学) Network embedding, aiming to embed a network into a low dimensional vector space while preserving the inherent structural properties of the network, h...
热度:21
6
Grafting-Light: Fast, Incremental Feature Selection and Structure Learning of Markov Random Fields[嫁接光:马尔可夫随机场的快速增量特征选择和结构学习]
Jun Zhu(清华大学) Feature selection is an important task in order to achieve better generalizability in high dimensional learning, and structure learning of Markov rand...
热度:27
Jun Zhu(清华大学) Feature selection is an important task in order to achieve better generalizability in high dimensional learning, and structure learning of Markov rand...
热度:27
7
Arbitrary-Order Proximity Preserved Network Embedding[任意阶邻近保持网络嵌入]
Ziwei Zhang(清华大学) Arbitrary-Order Proximity Preserved Network Embedding
热度:25
Ziwei Zhang(清华大学) Arbitrary-Order Proximity Preserved Network Embedding
热度:25
8
Deep Recursive Network Embedding with Regular Equivalence[具有规则等价性的深度递归网络嵌入]
Ke Tu(清华大学) Network embedding aims to preserve vertex similarity in an embedding space. Existing approaches usually define the similarity by direct links or commo...
热度:32
Ke Tu(清华大学) Network embedding aims to preserve vertex similarity in an embedding space. Existing approaches usually define the similarity by direct links or commo...
热度:32
9
Hierarchical Taxonomy Aware Network Embedding[分层分类感知网络嵌入]
Jianxin Ma(清华大学) Network embedding learns the low-dimensional representations for vertices, while preserving the inter-vertex similarity reflected by the network struc...
热度:33
Jianxin Ma(清华大学) Network embedding learns the low-dimensional representations for vertices, while preserving the inter-vertex similarity reflected by the network struc...
热度:33
10
Name Disambiguation in AMiner: Clustering, Maintenance, and Human in the Loop[AMiner中的名称消除歧义:集群、维护和循环中的人]
Yutao Zhang(清华大学) AMiner 1 is a free online academic search and mining system, having collected more than 130,000,000 researcher profiles and over 200,000,000 papers fr...
热度:38
Yutao Zhang(清华大学) AMiner 1 is a free online academic search and mining system, having collected more than 130,000,000 researcher profiles and over 200,000,000 papers fr...
热度:38