图 书 馆开课单位--微软公司
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118. Situated Interaction[18。情境互动]
Dan Bohus;Eric Horvitz(微软公司) This video provides an overview of the Situated Interaction project at Microsoft Research, an effort towards developing open-world interactive systems...
热度：58
Dan Bohus;Eric Horvitz(微软公司) This video provides an overview of the Situated Interaction project at Microsoft Research, an effort towards developing open-world interactive systems...
热度：58
2Generative and Discriminative Image Models[生成和条件图像模型]
John Winn(微软公司) Creating a good probabilistic model for images is a challenging task, due to the large variability in natural images. For general photographs, an idea...
热度：66
John Winn(微软公司) Creating a good probabilistic model for images is a challenging task, due to the large variability in natural images. For general photographs, an idea...
热度：66
3Image and Video Tagging in the Internet Era[图像和视频的标注在互联网时代]
Xian-Sheng Hua(微软公司) Automatically converting visual content into textual description has long been a dream of a number of multimedia, computer vision and machine learning...
热度：66
Xian-Sheng Hua(微软公司) Automatically converting visual content into textual description has long been a dream of a number of multimedia, computer vision and machine learning...
热度：66
4Seven Rules of Thumb for Web Site Experimenters[网站实验者的七条经验法则]
Ron Kohavi(微软公司) Web site owners, from small web sites to the largest properties that include Amazon, Facebook, Google, LinkedIn, Microsoft, and Yahoo, attempt to impr...
热度：46
Ron Kohavi(微软公司) Web site owners, from small web sites to the largest properties that include Amazon, Facebook, Google, LinkedIn, Microsoft, and Yahoo, attempt to impr...
热度：46
5Image and Video Tagging in the Internet Era[网络时代的图像与视频标注]
Xian-Sheng Hua(微软公司) Automatically converting visual content into textual description has long been a dream of a number of multimedia, computer vision and machine learning...
热度：39
Xian-Sheng Hua(微软公司) Automatically converting visual content into textual description has long been a dream of a number of multimedia, computer vision and machine learning...
热度：39
6Bing Dialog Model: Intent, Knowledge and User Interaction[必应对话模式：意图、知识和用户交互]
Harry Shum; Yu-Ting Kuo(微软公司) The decade-old Internet search outcomes, manifested in the form of “ten blue links,” are no longer sufficient for Internet users. Many stu...
热度：65
Harry Shum; Yu-Ting Kuo(微软公司) The decade-old Internet search outcomes, manifested in the form of “ten blue links,” are no longer sufficient for Internet users. Many stu...
热度：65
7The Online Discovery Problem and Its Application to Lifelong Reinforcement Learning[在线发现问题及其在终身强化学习中的应用]
Lihong Li(微软公司) We study lifelong reinforcement learning where the agent extracts knowledge from solving a sequence of tasks to speed learning in future ones. We firs...
热度：46
Lihong Li(微软公司) We study lifelong reinforcement learning where the agent extracts knowledge from solving a sequence of tasks to speed learning in future ones. We firs...
热度：46
8Psychological Advertising: Exploring Consumer Psychology for Click Prediction in Sponsored Search[心理广告：赞助搜索中点击预测的消费者心理探索]
Jiang Bian(微软公司) Precise click prediction is one of the key components in the sponsored search system. Previous studies usually took advantage of two major kinds of in...
热度：61
Jiang Bian(微软公司) Precise click prediction is one of the key components in the sponsored search system. Previous studies usually took advantage of two major kinds of in...
热度：61
9Query Clustering based on Bid Landscape for Sponsored Search Auction Optimization[基于竞价景观的搜索拍卖优化查询聚类]
Ye Chen(微软公司) In sponsored search auctions, the auctioneer operates the marketplace by setting a number of auction parameters such as reserve prices for the task of...
热度：34
Ye Chen(微软公司) In sponsored search auctions, the auctioneer operates the marketplace by setting a number of auction parameters such as reserve prices for the task of...
热度：34
10MAP inference in Discrete Models[离散模型中的映射推理]
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：58
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：58