图 书 馆开课单位--康奈尔大学
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3132Meme-tracking, Diffusion, and the Flow of On-Line Information[文化基因跟踪，扩散，和流量的在线信息]
Jon Kleinberg(康奈尔大学) News, discussion, and opinions travel through an overlapping set of on-line networks, involving e-mail, blogging, and other forms of communication. We...
热度：54
Jon Kleinberg(康奈尔大学) News, discussion, and opinions travel through an overlapping set of on-line networks, involving e-mail, blogging, and other forms of communication. We...
热度：54
33Supervised Clustering with Support Vector Machines[支持向量机聚类]
Thomas Finley(康奈尔大学) Supervised clustering is the problem of training a clustering algorithm to produce desirable clusterings: given sets of items and complete clusterings...
热度：43
Thomas Finley(康奈尔大学) Supervised clustering is the problem of training a clustering algorithm to produce desirable clusterings: given sets of items and complete clusterings...
热度：43
34Which Supervised Learning Method Works Best for What? An Empirical Comparison of Learning Methods and Metrics[哪一种监督学习方法效果最好？学习方法和指标的实证比较]
Rich Caruana(康奈尔大学) Decision trees are intelligible, but do they perform well enough that you should use them? Have SVMs replaced neural nets, or are neural nets still be...
热度：39
Rich Caruana(康奈尔大学) Decision trees are intelligible, but do they perform well enough that you should use them? Have SVMs replaced neural nets, or are neural nets still be...
热度：39
35Distance Metric Learning for Kernel Machines[内核机器的距离度量学习]
Kilian Weinberger(康奈尔大学) Recent work in metric learning has significantly improved the state-of-the-art in k-nearest neighbor classification. However, Support vector machines ...
热度：75
Kilian Weinberger(康奈尔大学) Recent work in metric learning has significantly improved the state-of-the-art in k-nearest neighbor classification. However, Support vector machines ...
热度：75
36A Pathwise Algorithm for Covariance Selection[一个协方差选择的顺向算法]
Selin Damla Ahipasaoglu(康奈尔大学) Covariance selection seeks to estimate a covariance matrix by maximum likelihood while restricting the number of nonzero inverse covariance matrix coe...
热度：60
Selin Damla Ahipasaoglu(康奈尔大学) Covariance selection seeks to estimate a covariance matrix by maximum likelihood while restricting the number of nonzero inverse covariance matrix coe...
热度：60
3738In-Car GPS Navigation: Engagement with and Disengagement from the Environment[车载GPS导航：参与和脱离环境]
Gilly Leshed(康奈尔大学) We explore how in-car GPS navigation leads to new forms of engagement and disengagement with the external environment. Fieldwork and theoretical frami...
热度：30
Gilly Leshed(康奈尔大学) We explore how in-car GPS navigation leads to new forms of engagement and disengagement with the external environment. Fieldwork and theoretical frami...
热度：30
39Feedback Effects between Similarity and Social Influence in Online Communities[网络社区相似性与社会影响力的反馈效应]
Crandall David J(康奈尔大学)
热度：105
Crandall David J(康奈尔大学)
热度：105
40The Structure of Information Pathways in a Social Communication Network[社会交往网络中信息通路的结构]
Jon Kleinberg(康奈尔大学)
热度：41
Jon Kleinberg(康奈尔大学)
热度：41