开课单位--微软公司

121
PSkip: Estimating relevance ranking quality from web search clickthrough data[PSkip:从网络搜索点击的数据相关性来排序质量]
  Kuansan Wang(微软公司) In this article, we report our efforts in mining the information encoded as clickthrough data in the server logs to evaluate and monitor the relevance...
热度:44

122
Enterprise and Desktop search (EDS)[企业和桌面搜索(EDS)]
  Sergey Chernov; Pavel Serdyukov;Pavel Dmitriev(微软公司) The Enterprise and Desktop Search problems recently received a considerable amount of attention from academia, mainly due to the increasing demand in ...
热度:32

123
The Offset Tree for Learning with Partial Labels[部分标签学习用的偏移树]
  John Langford(微软公司) 部分标签学习用的偏移树
热度:30

124
Message-passing for Graph-structured Linear Programs[图形结构化线性程序的消息传递]
  Alekh Agarwal(微软公司) Linear programming relaxations are one promising approach to solving the MAP estimation problem in Markov random fields; in particular, a body of past...
热度:34

127
The Future of Natural User Interface[自然用户界面的未来]
  Baining Guo(微软公司) Natural user interaction devices such as Microsoft Kinect create tremendous excitements and opportunities for researchers and technologists in multime...
热度:44

128
Strategic Considerations in Bandit Settings - The Price of Truthfulness in Online Ad Auctions[强盗设置的战略考量-在线广告拍卖的真实价格]
  Kakade Sham M(微软公司) Research at the intersection of machine learning and economics has flourished in recent years due to the realization that many technological systems (...
热度:54

129
Infer.NET - Practical Implementation Issues and a Comparison of Approximation Techniques[Infer.NET - 实际问题实施和近似技术的比较]
  John Winn(微软公司) Infer.NET is an efficient, general-purpose inference engine developed at Microsoft Cambridge by Tom Minka, John Winn and others. It aims to be highly ...
热度:38

130
MAP inference in Discrete Models[离散模型中的MAP推断]
  Pushmeet Kohli(微软公司) Many problems in Computer Vision are formulated in form of a random filed of discrete variables. Examples range from low-level vision such as image se...
热度:66