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KDD
2009
ACM
180views Data Mining» more  KDD 2009»
14 years 9 months ago
Using graph-based metrics with empirical risk minimization to speed up active learning on networked data
Active and semi-supervised learning are important techniques when labeled data are scarce. Recently a method was suggested for combining active learning with a semi-supervised lea...
Sofus A. Macskassy
PERVASIVE
2008
Springer
13 years 8 months ago
Localized power-aware routing in linear wireless sensor networks
Energy-efficency is a key concern when designing protocols for wireless sensor networks (WSN). This is of particular importance in commercial applications where demonstrable retur...
Marco Zimmerling, Waltenegus Dargie, Johnathan M. ...
HPCA
2011
IEEE
13 years 9 days ago
A new server I/O architecture for high speed networks
Traditional architectural designs are normally focused on CPUs and have been often decoupled from I/O considerations. They are inefficient for high-speed network processing with a...
Guangdeng Liao, Xia Znu, Laxmi N. Bhuyan
MOBISYS
2004
ACM
14 years 8 months ago
Improving the Latency of 802.11 hand-offs using Neighbor Graphs
The 802.11 IEEE Standard has enabled low cost and effective wireless LAN services (WLAN). With the sales and deployment of WLAN based networks exploding, many people believe that ...
Minho Shin, Arunesh Mishra, William A. Arbaugh
IMC
2006
ACM
14 years 2 months ago
Towards IP geolocation using delay and topology measurements
We present Topology-based Geolocation (TBG), a novel approach to estimating the geographic location of arbitrary Internet hosts. We motivate our work by showing that 1) existing a...
Ethan Katz-Bassett, John P. John, Arvind Krishnamu...