图 书 馆开课单位--卡内基梅隆大学
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71Introduction to the Machine Learning over Text & Images - Autumn School by Eric Xing[对机器学习的文本介绍]
Eric P. Xing(卡内基梅隆大学)
热度：32
Eric P. Xing(卡内基梅隆大学)
热度：32
72Adventures in Scheduling: Some Trends in Operations Research[冒险在调度：运筹学中的一些趋势]
Michael Trick(卡内基梅隆大学) Major League Baseball is a multi-billion dollar per year industry that relies heavily on the quality of its schedule. Teams, fans, TV networks, and ev...
热度：31
Michael Trick(卡内基梅隆大学) Major League Baseball is a multi-billion dollar per year industry that relies heavily on the quality of its schedule. Teams, fans, TV networks, and ev...
热度：31
73Fast Direction-Aware Proximity for Graph Mining [快速方向图挖掘到接近]
Hanghang Tong(卡内基梅隆大学) 本文研究了不对称的邻近措施对有向图，其量化关系的两个或两组节点之间的节点。在几个图挖掘任务，包括聚类的措施是有用的，链接预测和连接的拓扑发现。我们的邻...
热度：80
Hanghang Tong(卡内基梅隆大学) 本文研究了不对称的邻近措施对有向图，其量化关系的两个或两组节点之间的节点。在几个图挖掘任务，包括聚类的措施是有用的，链接预测和连接的拓扑发现。我们的邻...
热度：80
74DynaMMo: Mining and Summarization of Coevolving Sequences with Missing Values[dynammo：共同进化序列的缺失值的挖掘和总结]
Christos Faloutsos(卡内基梅隆大学) Given multiple time sequences with missing values, we propose DynaMMo which summarizes, compresses, and finds latent variables. The idea is to discove...
热度：46
Christos Faloutsos(卡内基梅隆大学) Given multiple time sequences with missing values, we propose DynaMMo which summarizes, compresses, and finds latent variables. The idea is to discove...
热度：46
75Learning Feature Hierarchies by Learning Deep Generative Models[学习特征层次的学习深度生成模型]
Ruslan Salakhutdinov(卡内基梅隆大学) In this paper we present several ideas based on learning deep generative models from high-dimensional, richly structured sensory input. We will exploi...
热度：34
Ruslan Salakhutdinov(卡内基梅隆大学) In this paper we present several ideas based on learning deep generative models from high-dimensional, richly structured sensory input. We will exploi...
热度：34
76Evaluating the inverse decision-making approach to preference learning[逆决策偏好的学习方法的评价]
Alan Jern(卡内基梅隆大学) Psychologists have recently begun to develop computational accounts of how people infer others' preferences from their behavior. The inverse decis...
热度：58
Alan Jern(卡内基梅隆大学) Psychologists have recently begun to develop computational accounts of how people infer others' preferences from their behavior. The inverse decis...
热度：58
7778Interview with Eric Xing[埃里克兴采访]
Eric P. Xing(卡内基梅隆大学) Statistical machine learning theory and applications in computational biology are the **fields of interest of Eric Xing**. We asked him at this interv...
热度：127
Eric P. Xing(卡内基梅隆大学) Statistical machine learning theory and applications in computational biology are the **fields of interest of Eric Xing**. We asked him at this interv...
热度：127
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