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ESANN
2007
13 years 8 months ago
How to process uncertainty in machine learning?
Uncertainty is a popular phenomenon in machine learning and a variety of methods to model uncertainty at different levels has been developed. The aim of this paper is to motivate ...
Barbara Hammer, Thomas Villmann
BMCBI
2005
120views more  BMCBI 2005»
13 years 7 months ago
SpectralNET - an application for spectral graph analysis and visualization
Background: Graph theory provides a computational framework for modeling a variety of datasets including those emerging from genomics, proteomics, and chemical genetics. Networks ...
Joshua J. Forman, Paul A. Clemons, Stuart L. Schre...
TPDS
2008
91views more  TPDS 2008»
13 years 7 months ago
SSW: A Small-World-Based Overlay for Peer-to-Peer Search
Peer-to-peer (P2P) systems have become a popular platform for sharing and exchanging voluminous information among thousands or even millions of users. The massive amount of inform...
Mei Li, Wang-Chien Lee, Anand Sivasubramaniam, Jin...
TMC
2011
261views more  TMC 2011»
13 years 2 months ago
Breath: An Adaptive Protocol for Industrial Control Applications Using Wireless Sensor Networks
—An energy-efficient, reliable and timely data transmission is essential for wireless sensor networks (WSNs) employed in scenarios where plant information must be available for ...
Pan Gun Park, Carlo Fischione, Alvise Bonivento, K...
JCDL
2011
ACM
301views Education» more  JCDL 2011»
12 years 10 months ago
Archiving the web using page changes patterns: a case study
A pattern is a model or a template used to summarize and describe the behavior (or the trend) of a data having generally some recurrent events. Patterns have received a considerab...
Myriam Ben Saad, Stéphane Gançarski