开课单位--视频讲座网
71
Comparison of Strategies for Scalable Causal Discovery of Latent Variable Models from Mixed Data[混合数据中潜在变量模型可扩展因果发现策略的比较]
Vineet Raghu(视频讲座网) Comparison of Strategies for Scalable Causal Discovery of Latent Variable Models from Mixed Data
热度:29
Vineet Raghu(视频讲座网) Comparison of Strategies for Scalable Causal Discovery of Latent Variable Models from Mixed Data
热度:29
72
FIRST: Fast Interactive Attributed Subgraph Matching[第一:快速交互式属性子图匹配]
Boxin Du(视频讲座网) Attributed subgraph matching is a powerful tool for explorative mining of large attributed networks. In many applications (e.g., network science of te...
热度:18
Boxin Du(视频讲座网) Attributed subgraph matching is a powerful tool for explorative mining of large attributed networks. In many applications (e.g., network science of te...
热度:18
73
Combining Graphical Models and Deep Learning[结合图形模型和深度学习]
Matthew James Johnson(视频讲座网) Combining Graphical Models and Deep Learning
热度:19
Matthew James Johnson(视频讲座网) Combining Graphical Models and Deep Learning
热度:19
74
75
NLP and Deep Learning 2: Compositional Deep Learning[自然语言处理与深度学习2:复合深度学习]
Christopher Manning(视频讲座网) NLP and Deep Learning 2: Compositional Deep Learning
热度:28
Christopher Manning(视频讲座网) NLP and Deep Learning 2: Compositional Deep Learning
热度:28
76
Urban Computing: Enabling Intelligent Cities with AI and Big Data[城市计算:用人工智能和大数据实现智能城市]
Yu Zheng(视频讲座网) Urban Computing: Enabling Intelligent Cities with AI and Big Data
热度:21
Yu Zheng(视频讲座网) Urban Computing: Enabling Intelligent Cities with AI and Big Data
热度:21
77
Lecture 5: Entropy and Data Compression (IV): Shannon's Source Coding Theorem, Symbol Codes and Arithmetic Coding[第5讲:熵和数据压缩(IV):香农源编码定理,符号编码和算术编码]
David MacKay(视频讲座网) Lecture 5: Entropy and Data Compression (IV): Shannon's Source Coding Theorem, Symbol Codes and Arithmetic Coding
热度:29
David MacKay(视频讲座网) Lecture 5: Entropy and Data Compression (IV): Shannon's Source Coding Theorem, Symbol Codes and Arithmetic Coding
热度:29
78
The Authority of "Fair" in Machine Learning[机器学习中“公平”的权威]
Michael Skirpan(视频讲座网) In this paper, we argue for the adoption of a normative definition of fairness within the machine learning community. After characterizing this defini...
热度:26
Michael Skirpan(视频讲座网) In this paper, we argue for the adoption of a normative definition of fairness within the machine learning community. After characterizing this defini...
热度:26
79
Speech Recognition and Deep Learning[语音识别与深度学习]
Adam Coates(视频讲座网) Speech Recognition and Deep Learning
热度:31
Adam Coates(视频讲座网) Speech Recognition and Deep Learning
热度:31
80
Data and Analytics for the Presidential Elections[总统选举的数据和分析]
Rayid Ghani(视频讲座网) Data and Analytics for the Presidential Elections
热度:27
Rayid Ghani(视频讲座网) Data and Analytics for the Presidential Elections
热度:27