开课单位--卡内基梅隆大学
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The “FAME” Interactive Space[“FAME”互动空间]
Florian Metze(卡内基梅隆大学) This paper describes the “FAME” multi-modal demonstrator, which integrates multiple communication modes – vision, speech and object ...
热度:69
Florian Metze(卡内基梅隆大学) This paper describes the “FAME” multi-modal demonstrator, which integrates multiple communication modes – vision, speech and object ...
热度:69
![](functions/showpic.php?filename=2019051109544168.png)
Fast Query Execution for Retrieval Models Based on Path-Constrained Random Walks[基于路径约束随机游动的检索模型快速查询执行 ]
Ni Lao(卡内基梅隆大学) Many recommendation and retrieval tasks can be represented as proximity queries on a labeled directed graph, with typed nodes representing documents, ...
热度:76
Ni Lao(卡内基梅隆大学) Many recommendation and retrieval tasks can be represented as proximity queries on a labeled directed graph, with typed nodes representing documents, ...
热度:76
![](functions/showpic.php?filename=2019051109423322.png)
Data Mining to Predict and Prevent Errors in Health Insurance Claims Processing[用于预测和预防医疗保险索赔处理错误的数据挖掘]
Mohit Kumar(卡内基梅隆大学 ) Health insurance costs across the world have increased alarmingly in recent years. A major cause of this increase are payment errors made by the insur...
热度:70
Mohit Kumar(卡内基梅隆大学 ) Health insurance costs across the world have increased alarmingly in recent years. A major cause of this increase are payment errors made by the insur...
热度:70
![](functions/showpic.php?filename=2019051109314698.png)
Discriminative Topic Modeling based on Manifold Learning[基于流形学习的主题识别模型 ]
Seungil Huh(卡内基梅隆大学) Topic modeling has been popularly used for data analysis in various domains including text documents. Previous topic models, such as probabilistic Lat...
热度:96
Seungil Huh(卡内基梅隆大学) Topic modeling has been popularly used for data analysis in various domains including text documents. Previous topic models, such as probabilistic Lat...
热度:96
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Indexing and Mining Time Sequences[索引和挖掘时间序列 ]
Christos Faloutsos, Lei Li(卡内基梅隆大学 ) How can we find patterns in a sequence of sensor measurements (eg., a sequence of temperatures, or water-pollutant measurements)? How can we compress ...
热度:47
Christos Faloutsos, Lei Li(卡内基梅隆大学 ) How can we find patterns in a sequence of sensor measurements (eg., a sequence of temperatures, or water-pollutant measurements)? How can we compress ...
热度:47
![](functions/showpic.php?filename=2019051005500042.png)
Mining Social Networks for Personalized Email Prioritizationp[挖掘社交网络以实现个性化电子邮件优先级]
Shinjae Yoo(卡内基梅隆大学) Email is one of the most prevalent communication tools today, and solving the email overload problem is pressingly urgent. A good way to alleviate ema...
热度:40
Shinjae Yoo(卡内基梅隆大学) Email is one of the most prevalent communication tools today, and solving the email overload problem is pressingly urgent. A good way to alleviate ema...
热度:40
![](functions/showpic.php?filename=2019051002070085.png)
TANGENT: A Novel, 'Surprise-me' Recommendation Algorithm[TANGENT:一种新颖的“惊喜我”推荐算法 ]
Kensuke Onuma(卡内基梅隆大学) Most of recommender systems try to find items that are most relevant to the older choices of a given user. Here we focus on the "surprise me"...
热度:46
Kensuke Onuma(卡内基梅隆大学) Most of recommender systems try to find items that are most relevant to the older choices of a given user. Here we focus on the "surprise me"...
热度:46
![](functions/showpic.php?filename=2019051001154817.png)
Large Graph-Mining: Power Tools and a Practitioner's Guide[大型图形挖掘:电动工具和实践指南]
Charalampos E. Tsourakakis, Christos Faloutsos, Gary L Miller(卡内基梅隆大学) Numerous real-world datasets are in matrix form, thus matrix algebra, linear and multilinear, provides important algorithmic tools for analyzing them....
热度:50
Charalampos E. Tsourakakis, Christos Faloutsos, Gary L Miller(卡内基梅隆大学) Numerous real-world datasets are in matrix form, thus matrix algebra, linear and multilinear, provides important algorithmic tools for analyzing them....
热度:50
![](functions/showpic.php?filename=2019051001031721.png)
Statistical Challenges in Computational Advertising[计算广告中的统计挑战]
Deepayan Chakrabarti, Deepak Agarwal(卡内基梅隆大学) Many organizations now devote significant fractions of their advertising/outreach budgets to online advertising; ad-networks like Yahoo!, Google, MSN ...
热度:80
Deepayan Chakrabarti, Deepak Agarwal(卡内基梅隆大学) Many organizations now devote significant fractions of their advertising/outreach budgets to online advertising; ad-networks like Yahoo!, Google, MSN ...
热度:80
![](functions/showpic.php?filename=2019050807351978.png)
Detecting Anomalous Records in Categorical Datasets [分类数据集中异常记录的检测]
Kaustav Das(卡内基梅隆大学 ) We consider the problem of detecting anomalies in high arity categorical datasets. In most applications, anomalies are defined as data points that are...
热度:79
Kaustav Das(卡内基梅隆大学 ) We consider the problem of detecting anomalies in high arity categorical datasets. In most applications, anomalies are defined as data points that are...
热度:79