开课单位--雅虎公司
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Emerging Sciences of the Internet: Some New Opportunities[互联网的新兴科学:一些新机遇]
Brachman Ronald J(雅虎公司) Keynote presentation held at the European Semantic Web Conference (ESWC) 2007. Semantic Web technologies have started to make a difference in enterpri...
热度:52
Brachman Ronald J(雅虎公司) Keynote presentation held at the European Semantic Web Conference (ESWC) 2007. Semantic Web technologies have started to make a difference in enterpri...
热度:52
![](functions/showpic.php?filename=2021062307350823.png)
Web-Scale Image Clustering Revisited[Web尺度图像聚类的再探讨]
Yannis Kalantidis(雅虎公司) Large scale duplicate detection, clustering and mining of documents or images has been conventionally treated with seed detection via hashing, followe...
热度:58
Yannis Kalantidis(雅虎公司) Large scale duplicate detection, clustering and mining of documents or images has been conventionally treated with seed detection via hashing, followe...
热度:58
![](functions/showpic.php?filename=2020110510205873.png)
Correlation Clustering: From Theory to Practice[相关聚类:从理论到实践]
Edo Liberty; David Garcia-Soriano;Francesco Bonchi(雅虎公司) Correlation clustering is arguably the most natural formulation of clustering. Given a set of objects and a pairwise similarity measure between them, ...
热度:51
Edo Liberty; David Garcia-Soriano;Francesco Bonchi(雅虎公司) Correlation clustering is arguably the most natural formulation of clustering. Given a set of objects and a pairwise similarity measure between them, ...
热度:51
![](functions/showpic.php?filename=2020102808111885.png)
Gradient Boosted Decision Trees on Hadoop[基于Hadoop的梯度增强决策树]
Jerry Ye(雅虎公司) Stochastic Gradient Boosted Decision Trees (GBDT) is one of the most widely used learning algorithms in machine learning today. It is adaptable, easy ...
热度:67
Jerry Ye(雅虎公司) Stochastic Gradient Boosted Decision Trees (GBDT) is one of the most widely used learning algorithms in machine learning today. It is adaptable, easy ...
热度:67
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An Analysis of Probabilistic Methods for Top-N Recommendation in Collaborative Filtering[协同过滤中Top-N推荐的概率方法分析]
Nicola Barbieri(雅虎公司) In this work we perform an analysis of probabilistic approaches to recommendation upon a different validation perspective, which focuses on accuracy m...
热度:100
Nicola Barbieri(雅虎公司) In this work we perform an analysis of probabilistic approaches to recommendation upon a different validation perspective, which focuses on accuracy m...
热度:100
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Hallucinations in Auditory Perception[听觉感知中的幻觉]
Malcolm Slaney(雅虎公司) In this talk I want to review the need for richer architectures for auditory processing. Many experiments point to the tangled web of connections in t...
热度:64
Malcolm Slaney(雅虎公司) In this talk I want to review the need for richer architectures for auditory processing. Many experiments point to the tangled web of connections in t...
热度:64
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Introduction to Semantic Search 2009[语义搜索入门2009]
Peter Mika(雅虎公司) In recent years we have witnessed tremendous interest and substantial economic exploitation of search technologies, both at web and enterprise scale. ...
热度:32
Peter Mika(雅虎公司) In recent years we have witnessed tremendous interest and substantial economic exploitation of search technologies, both at web and enterprise scale. ...
热度:32
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Beyond Relevance[从关联]
Roelof Van Zwol(雅虎公司) Finding similar and relevant media content given a user query or sample image has been at the core of the multimedia retrieval community for a long ti...
热度:48
Roelof Van Zwol(雅虎公司) Finding similar and relevant media content given a user query or sample image has been at the core of the multimedia retrieval community for a long ti...
热度:48
![](functions/showpic.php?filename=2019070209253545.jpg)
Influence and Correlation in Social Networks[社交网络中的影响与相关性]
Mohammad Mahdian(雅虎公司) In many online social systems, social ties between users play an important role in dictating users' behavior. One of the ways this can happen is t...
热度:73
Mohammad Mahdian(雅虎公司) In many online social systems, social ties between users play an important role in dictating users' behavior. One of the ways this can happen is t...
热度:73
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