图 书 馆开课单位--视频讲座网
81
82
83
84
85
86
87
88
89
90
81Ego-splitting Framework: from Non-Overlapping to Overlapping Clusters[自分裂框架:从非重叠到重叠集群]
Alessandro Epasto(视频讲座网) We propose a new framework called Ego-splitting for detecting clusters in complex networks which leverage the local structures known as ego-nets (i.e....
热度：24
Alessandro Epasto(视频讲座网) We propose a new framework called Ego-splitting for detecting clusters in complex networks which leverage the local structures known as ego-nets (i.e....
热度：24
82Communication-Efficient Distributed Block Minimization for Nonlinear Kernel Machines[通信——非线性核机的高效分布式块最小化]
Cho-Jui Hsieh(视频讲座网) Kernel machines often yield superior predictive performance on various tasks; however, they suffer from severe computational challenges. In this paper...
热度：26
Cho-Jui Hsieh(视频讲座网) Kernel machines often yield superior predictive performance on various tasks; however, they suffer from severe computational challenges. In this paper...
热度：26
8384Deep NLP Applications and Dynamic Memory Networks[深度NLP应用与动态记忆网络]
Richard Socher(视频讲座网) Deep NLP Applications and Dynamic Memory Networks
热度：22
Richard Socher(视频讲座网) Deep NLP Applications and Dynamic Memory Networks
热度：22
85Lecture 4: Entropy and Data Compression (III): Shannon's Source Coding Theorem, Symbol Codes[第4讲:熵与数据压缩(III):香农源编码定理，符号编码]
David MacKay(视频讲座网) Lecture 4: Entropy and Data Compression (III): Shannon's Source Coding Theorem, Symbol Codes
热度：26
David MacKay(视频讲座网) Lecture 4: Entropy and Data Compression (III): Shannon's Source Coding Theorem, Symbol Codes
热度：26
8687What Would Shannon Do? Bayesian Compression for DL[香农会怎么做?DL的贝叶斯压缩]
Karen Ullrich(视频讲座网) What Would Shannon Do? Bayesian Compression for DL
热度：24
Karen Ullrich(视频讲座网) What Would Shannon Do? Bayesian Compression for DL
热度：24
88AdaHash: Hashing Based Scalable, Adaptive Hierarchical Clustering of Streaming Data on Map-Reduce Frameworks[AdaHash: Map-Reduce框架上基于哈希的可伸缩、自适应的流数据分层聚类]
Dean Whitney Teffer(视频讲座网) AdaHash: Hashing Based Scalable, Adaptive Hierarchical Clustering of Streaming Data on Map-Reduce Frameworks
热度：22
Dean Whitney Teffer(视频讲座网) AdaHash: Hashing Based Scalable, Adaptive Hierarchical Clustering of Streaming Data on Map-Reduce Frameworks
热度：22
89Lecture 3: Entropy and Data Compression (II): Shannon's Source Coding Theorem and the Bent Coin Lottery[第3讲:熵与数据压缩(二):香农源编码定理与弯曲硬币彩票]
David MacKay(视频讲座网) Lecture 3: Entropy and Data Compression (II): Shannon's Source Coding Theorem and the Bent Coin Lottery
热度：46
David MacKay(视频讲座网) Lecture 3: Entropy and Data Compression (II): Shannon's Source Coding Theorem and the Bent Coin Lottery
热度：46
90Applied semantics: beyond the catalog[应用语义:超出目录]
Jamie Taylor(视频讲座网) A decade ago a number of semantic catalogs started appearing. These catalogs gave identifiers to things, assigned them categories and asserted facts a...
热度：25
Jamie Taylor(视频讲座网) A decade ago a number of semantic catalogs started appearing. These catalogs gave identifiers to things, assigned them categories and asserted facts a...
热度：25