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» Learning network structure from passive measurements
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ICDE
2009
IEEE
140views Database» more  ICDE 2009»
13 years 5 months ago
Routing Questions to the Right Users in Online Communities
Online forums contain huge amounts of valuable user-generated content. In current forum systems, users have to passively wait for other users to visit the forum systems and read/an...
Yanhong Zhou, Gao Cong, Bin Cui, Christian S. Jens...
IMC
2006
ACM
14 years 1 months ago
A structural approach to latency prediction
Several models have been recently proposed for predicting the latency of end to end Internet paths. These models treat the Internet as a black-box, ignoring its internal structure...
Harsha V. Madhyastha, Thomas E. Anderson, Arvind K...
KDD
2009
ACM
180views Data Mining» more  KDD 2009»
14 years 8 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
NSDI
2004
13 years 9 months ago
Beehive: O(1) Lookup Performance for Power-Law Query Distributions in Peer-to-Peer Overlays
Structured peer-to-peer hash tables provide decentralization, self-organization, failure-resilience, and good worst-case lookup performance for applications, but suffer from high ...
Venugopalan Ramasubramanian, Emin Gün Sirer
SIGCOMM
2010
ACM
13 years 8 months ago
Crowdsourcing service-level network event monitoring
The user experience for networked applications is becoming a key benchmark for customers and network providers. Perceived user experience is largely determined by the frequency, d...
David R. Choffnes, Fabián E. Bustamante, Zi...