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WWW
2005
ACM
14 years 10 months ago
Scaling link-based similarity search
To exploit the similarity information hidden in the hyperlink structure of the web, this paper introduces algorithms scalable to graphs with billions of vertices on a distributed ...
Balázs Rácz, Dániel Fogaras
DIALM
2005
ACM
125views Algorithms» more  DIALM 2005»
13 years 11 months ago
Minimizing interference in ad hoc and sensor networks
Reducing interference is one of the main challenges in wireless communication, and particularly in ad hoc networks. The amount of interference experienced by a node v corresponds ...
Thomas Moscibroda, Roger Wattenhofer
KDD
2007
ACM
276views Data Mining» more  KDD 2007»
14 years 9 months ago
Nonlinear adaptive distance metric learning for clustering
A good distance metric is crucial for many data mining tasks. To learn a metric in the unsupervised setting, most metric learning algorithms project observed data to a lowdimensio...
Jianhui Chen, Zheng Zhao, Jieping Ye, Huan Liu
NIPS
2003
13 years 10 months ago
AUC Optimization vs. Error Rate Minimization
The area under an ROC curve (AUC) is a criterion used in many applications to measure the quality of a classification algorithm. However, the objective function optimized in most...
Corinna Cortes, Mehryar Mohri
WWW
2008
ACM
14 years 10 months ago
Rogue access point detection using segmental TCP jitter
Rogue Access Points (RAPs) pose serious security threats to local networks. An analytic model of prior probability distribution of Segmental TCP Jitter (STJ) is deduced from the m...
Gaogang Xie, Tingting He, Guangxing Zhang