开课单位--微软研究
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Collaborative Learning of Preferences for Recommending Games and Media[推荐游戏和媒体偏好的协作学习]
Thore Graepel(微软研究) The talk is motivated by our recent work on a recommender system for games, videos, and music on Microsoft’s Xbox Live Marketplace with over 35M...
热度:15
Thore Graepel(微软研究) The talk is motivated by our recent work on a recommender system for games, videos, and music on Microsoft’s Xbox Live Marketplace with over 35M...
热度:15
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Generalization bounds[泛化边界]
John Langford(微软研究) When a learning algorithm produces a classifier, a natural question to ask is "How well will it do in the future?" To make statements about ...
热度:61
John Langford(微软研究) When a learning algorithm produces a classifier, a natural question to ask is "How well will it do in the future?" To make statements about ...
热度:61
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The Virtual Lab[虚拟实验室]
Duncan Watts(微软研究) Crowdsourcing sites like Amazon's Mechanical Turk are increasingly being used by researchers to construct "virtual labs" in which they c...
热度:17
Duncan Watts(微软研究) Crowdsourcing sites like Amazon's Mechanical Turk are increasingly being used by researchers to construct "virtual labs" in which they c...
热度:17
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Planning, Running, and Analyzing Controlled Experiments on the Web[在Web上计划、运行和分析受控实验]
Ron Kohavi;Roger Longbotham(微软研究 ) The web provides an unprecedented opportunity to evaluate ideas quickly using controlled experiments, also called randomized experiments, A/B tests (a...
热度:25
Ron Kohavi;Roger Longbotham(微软研究 ) The web provides an unprecedented opportunity to evaluate ideas quickly using controlled experiments, also called randomized experiments, A/B tests (a...
热度:25
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