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» A Practical Approach to Model Extension
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ESANN
2006
15 years 5 months ago
Margin based Active Learning for LVQ Networks
In this article, we extend a local prototype-based learning model by active learning, which gives the learner the capability to select training samples during the model adaptation...
Frank-Michael Schleif, Barbara Hammer, Thomas Vill...
JSAC
2010
107views more  JSAC 2010»
15 years 2 months ago
Online learning in autonomic multi-hop wireless networks for transmitting mission-critical applications
Abstract—In this paper, we study how to optimize the transmission decisions of nodes aimed at supporting mission-critical applications, such as surveillance, security monitoring,...
Hsien-Po Shiang, Mihaela van der Schaar
ICNP
2009
IEEE
15 years 2 months ago
End-to-End Versus Hop-by-Hop Soft State Refresh for Multi-hop Signaling Systems
Abstract--To ensure state synchronization of signalling operations, many signaling protocol designs choose to establish "soft" state that expires if it is not refreshed. ...
Xiaoming Fu, Jianhua He
DATE
2007
IEEE
146views Hardware» more  DATE 2007»
15 years 10 months ago
DFM/DFY: should you trust the surgeon or the family doctor?
Everybody agrees that curing DFM/DFY issues is of paramount importance at 65 nanometers and beyond. Unfortunately, there is disagreement about how and when to cure them. “Surgeo...
Marco Casale-Rossi, Andrzej J. Strojwas, Robert C....
SIMUTOOLS
2008
15 years 5 months ago
Snoopy: a tool to design and animate/simulate graph-based formalisms
We sketch the fundamental properties and features of Snoopy, a tool to model and execute (animate, simulate) hierarchical graph-based system descriptions. The tool comes along wit...
Monika Heiner, Ronny Richter, Martin Schwarick