图 书 馆开课单位--微软研究院
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1Space Planning for Online Community[网络社区空间规划]
Danyel Fisher;Tammara Combs Turner(微软研究院) Space Planning for Online Community
热度：12
Danyel Fisher;Tammara Combs Turner(微软研究院) Space Planning for Online Community
热度：12
2A Century of Science: Globalization of Scientific Collaborations, Citations, and Innovations[科学的世纪：科学合作、引文和创新的全球化]
Hao Ma(微软研究院) Progress in science has advanced the development of human society across history, with dramatic revolutions shaped by information theory, genetic clon...
热度：19
Hao Ma(微软研究院) Progress in science has advanced the development of human society across history, with dramatic revolutions shaped by information theory, genetic clon...
热度：19
3Learning to Rank on a Cluster using Boosted Decision Trees[使用提升决策树在聚类上学习排序]
Krysta M. Svore(微软研究院) Learning to Rank on a Cluster using Boosted Decision Trees
热度：15
Krysta M. Svore(微软研究院) Learning to Rank on a Cluster using Boosted Decision Trees
热度：15
4BLEWS: Using Blogs to Provide Context for News Articles[BLEWS：使用博客为新闻文章提供上下文]
Michael Gamon;Dmitriy Belenko(微软研究院) BLEWS: Using Blogs to Provide Context for News Articles
热度：18
Michael Gamon;Dmitriy Belenko(微软研究院) BLEWS: Using Blogs to Provide Context for News Articles
热度：18
5Learning to Rank Using Gradient Descent[学习使用梯度下降排序]
Chris Burges(微软研究院) We investigate using gradient descent methods for learning ranking functions; we propose a simple probabilistic cost function, and we introduce RankNe...
热度：17
Chris Burges(微软研究院) We investigate using gradient descent methods for learning ranking functions; we propose a simple probabilistic cost function, and we introduce RankNe...
热度：17
6Truth Discovery with Multiple Conflicting Information Providers on the Web[网络上多冲突信息提供者的真相发现]
Xiaoxin Yin(微软研究院) The world-wide web has become the most important information source for most of us. Unfortunately, there is no guarantee for the correctness of inform...
热度：21
Xiaoxin Yin(微软研究院) The world-wide web has become the most important information source for most of us. Unfortunately, there is no guarantee for the correctness of inform...
热度：21
7Graphons and Machine Learning: Modeling and Estimation of Sparse Massive Networks[图元与机器学习:稀疏海量网络的建模与估计]
Jennifer Chayes(微软研究院) There are numerous examples of sparse massive networks, in particular the Internet, WWW and online social networks. How do we model and learn these ne...
热度：19
Jennifer Chayes(微软研究院) There are numerous examples of sparse massive networks, in particular the Internet, WWW and online social networks. How do we model and learn these ne...
热度：19
8Planning Bike Lanes based on SharingBikes' Trajectories[基于共享单车轨迹规划自行车道]
Jie Bao(微软研究院) Cycling as a green transportation mode has been promoted by many governments all over the world. As a result, constructing effective bike lanes has be...
热度：17
Jie Bao(微软研究院) Cycling as a green transportation mode has been promoted by many governments all over the world. As a result, constructing effective bike lanes has be...
热度：17
9Applications to Machine Vision[机器视觉的应用]
Andrew Blake(微软研究院) This presentation describes novel approaches to spatial inference problems in vision and image processing. Markov random field models are described fo...
热度：17
Andrew Blake(微软研究院) This presentation describes novel approaches to spatial inference problems in vision and image processing. Markov random field models are described fo...
热度：17
10Recent Advances in Digital Processing of Images and Audio[图像和音频数字处理的最新进展]
Henrique S.Malvar(微软研究院) Henrique Malvar hopes to impress a tough crowd with “tricks” hot from Microsoft’s research labs. His show-and-tell features the late...
热度：16
Henrique S.Malvar(微软研究院) Henrique Malvar hopes to impress a tough crowd with “tricks” hot from Microsoft’s research labs. His show-and-tell features the late...
热度：16