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147
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NIPS
2001
15 years 5 months ago
On the Generalization Ability of On-Line Learning Algorithms
In this paper, it is shown how to extract a hypothesis with small risk from the ensemble of hypotheses generated by an arbitrary on-line learning algorithm run on an independent an...
Nicolò Cesa-Bianchi, Alex Conconi, Claudio ...
176
Voted
JSAC
2010
146views more  JSAC 2010»
14 years 10 months ago
NLOS identification and mitigation for localization based on UWB experimental data
Abstract--Sensor networks can benefit greatly from locationawareness, since it allows information gathered by the sensors to be tied to their physical locations. Ultra-wide bandwid...
Stefano Maranò, Wesley M. Gifford, Henk Wym...
143
Voted
INFOCOM
1995
IEEE
15 years 7 months ago
Automatic Alarm Correlation for Fault Identification
In communication networks, a large number of alarms exist to signal any abnormal behavior of the network. As network faults typically result in a number of alarms, correlating the...
Isabelle Rouvellou, George W. Hart
137
Voted
NIPS
2008
15 years 5 months ago
Hebbian Learning of Bayes Optimal Decisions
Uncertainty is omnipresent when we perceive or interact with our environment, and the Bayesian framework provides computational methods for dealing with it. Mathematical models fo...
Bernhard Nessler, Michael Pfeiffer, Wolfgang Maass
123
Voted
CN
2004
163views more  CN 2004»
15 years 3 months ago
Highly reliable trust establishment scheme in ad hoc networks
Securing ad hoc networks in a fully self-organized way is effective and light-weight, but fails to accomplish trust initialization in many trust deficient scenarios. To overcome t...
Kui Ren, Tieyan Li, Zhiguo Wan, Feng Bao, Robert H...