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» Evaluating algorithms that learn from data streams
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IWCMC
2010
ACM
15 years 9 months ago
On the use of random neural networks for traffic matrix estimation in large-scale IP networks
Despite a large body of literature and methods devoted to the Traffic Matrix (TM) estimation problem, the inference of traffic flows volume from aggregated data still represents a ...
Pedro Casas, Sandrine Vaton
SIGIR
2005
ACM
16 years 1 months ago
Surrogate scoring for improved metasearch precision
We describe a method for improving the precision of metasearch results based upon scoring the visual features of documents' surrogate representations. These surrogate scores ...
Steven M. Beitzel, Eric C. Jensen, Ophir Frieder, ...
241
Voted
WWW
2008
ACM
16 years 8 months ago
Networked graphs: a declarative mechanism for SPARQL rules, SPARQL views and RDF data integration on the web
Easy reuse and integration of declaratively described information in a distributed setting is one of the main motivations for building the Semantic Web. Despite of this claim, reu...
Simon Schenk, Steffen Staab
WWW
2010
ACM
16 years 2 months ago
DSNotify: handling broken links in the web of data
The Web of Data has emerged as a way of exposing structured linked data on the Web. It builds on the central building blocks of the Web (URIs, HTTP) and benefits from its simplic...
Niko Popitsch, Bernhard Haslhofer
IPSN
2003
Springer
16 years 23 days ago
A Robust Data Delivery Protocol for Large Scale Sensor Networks
Although data forwarding algorithms and protocols have been among the first set of issues explored in sensor networking, how to reliably deliver sensing data through a vast field...
Fan Ye, Gary Zhong, Songwu Lu, Lixia Zhang