图 书 馆开课单位--加州大学圣地亚哥分校
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1Columbus: Fast, Reliable Co-residence Detection for Lambdas[哥伦布：Lambdas快速、可靠的共居检测]
Ailm Yelam(加州大学圣地亚哥分校) Columbus: Fast, Reliable Co-residence Detection for Lambdas
热度：29
Ailm Yelam(加州大学圣地亚哥分校) Columbus: Fast, Reliable Co-residence Detection for Lambdas
热度：29
2Not All Features Are Equal: Discovering Essential Features for Preserving Prediction Privacy[并非所有的特征都是相同的：发现保护隐私的基本特征]
Fatemehsadat Mireshghallah(加州大学圣地亚哥分校) Not All Features Are Equal: Discovering Essential Features for Preserving Prediction Privacy
热度：41
Fatemehsadat Mireshghallah(加州大学圣地亚哥分校) Not All Features Are Equal: Discovering Essential Features for Preserving Prediction Privacy
热度：41
3Strategic Impatience in Go/NoGo versus Forced-Choice Decision-Making[去/不去与强迫选择决策中的战略不耐烦]
Angela J. Yu(加州大学圣地亚哥分校) Two-alternative forced choice (2AFC) and Go/NoGo (GNG) tasks are behavioral choice paradigms commonly used to study sensory and cognitive processing i...
热度：46
Angela J. Yu(加州大学圣地亚哥分校) Two-alternative forced choice (2AFC) and Go/NoGo (GNG) tasks are behavioral choice paradigms commonly used to study sensory and cognitive processing i...
热度：46
4From Microscopy Images to Models of Cellular Processes[从显微镜图像到细胞过程模型]
Yoav Freund(加州大学圣地亚哥分校) The advance of fluorescent tagging and of confocal microscopy is allowing biologists to image biochemical processes at a level of detail that was unim...
热度：34
Yoav Freund(加州大学圣地亚哥分校) The advance of fluorescent tagging and of confocal microscopy is allowing biologists to image biochemical processes at a level of detail that was unim...
热度：34
5Analysis of Clustering Procedures[聚类过程分析]
Sanjoy Dasgupta(加州大学圣地亚哥分校) Clustering procedures are notoriously short on rigorous guarantees. In this tutorial, I will cover some of the types of analysis that have been applie...
热度：35
Sanjoy Dasgupta(加州大学圣地亚哥分校) Clustering procedures are notoriously short on rigorous guarantees. In this tutorial, I will cover some of the types of analysis that have been applie...
热度：35
6A rational decision making framework for inhibitory control[抑制控制的理性决策框架]
Angela J. Yu(加州大学圣地亚哥分校) Intelligent agents are often faced with the need to choose actions with uncertain consequences, and to modify those actions according to ongoing senso...
热度：24
Angela J. Yu(加州大学圣地亚哥分校) Intelligent agents are often faced with the need to choose actions with uncertain consequences, and to modify those actions according to ongoing senso...
热度：24
7Link prediction via matrix factorization[通过矩阵分解的链路预测]
Charles Elkan(加州大学圣地亚哥分校) We propose to solve the link prediction problem in graphs using a supervised matrix factorization approach. The model learns latent features from the ...
热度：72
Charles Elkan(加州大学圣地亚哥分校) We propose to solve the link prediction problem in graphs using a supervised matrix factorization approach. The model learns latent features from the ...
热度：72
8Drifting Games, Boosting and Online Learning[漂流游戏，促进和在线学习]
Yoav Freund(加州大学圣地亚哥分校) Drifting games provide a new and useful framework for analyzing learning algorithms. In this talk I will present the framework and show how it is used...
热度：37
Yoav Freund(加州大学圣地亚哥分校) Drifting games provide a new and useful framework for analyzing learning algorithms. In this talk I will present the framework and show how it is used...
热度：37
9Anomaly Detection in Crowded Scenes[拥挤场景中的异常检测]
Vijay Mahadevan(加州大学圣地亚哥分校) A novel framework for anomaly detection in crowded scenes is presented. Three properties are identified as important for the design of a localized vid...
热度：51
Vijay Mahadevan(加州大学圣地亚哥分校) A novel framework for anomaly detection in crowded scenes is presented. Three properties are identified as important for the design of a localized vid...
热度：51
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