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» Learning from sensor network data
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GLOBECOM
2009
IEEE
15 years 9 months ago
MAC Protocol Engine for Sensor Networks
—We present a novel approach for Medium Access Control (MAC) protocol design based on protocol engine. Current way of designing MAC protocols for a specific application is based...
Sinem Coleri Ergen, Piergiuseppe Di Marco, Carlo F...
ESANN
2006
15 years 4 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...
IJCAI
2003
15 years 4 months ago
A Learning Algorithm for Localizing People Based on Wireless Signal Strength that Uses Labeled and Unlabeled Data
This paper summarizes a probabilistic approach for localizing people through the signal strengths of a wireless IEEE 802.11b network. Our approach uses data labeled by ground trut...
Sebastian Thrun, Geoffrey J. Gordon, Frank Pfennin...
AUTONOMICS
2008
ACM
15 years 4 months ago
MWM: a map-based world model for wireless sensor networks
A prominent functionality of a Wireless Sensor Network (WSN) is environmental monitoring. For this purpose the WSN creates a model for the real world by using abstractions to pars...
Abdelmajid Khelil, Faisal Karim Shaikh, Brahim Aya...
EUSFLAT
2003
152views Fuzzy Logic» more  EUSFLAT 2003»
15 years 4 months ago
Bayesian networks for continuous values and uncertainty in the learning process
This paper proposes a method for Bayesian networks that handles uncertainty and discretization of continuous variables when learning the networks from a database of cases. The dat...
J. F. Baldwin, E. Di Tomaso