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DCOSS
2009
Springer
14 years 27 days ago
Compressed RF Tomography for Wireless Sensor Networks: Centralized and Decentralized Approaches
Radio Frequency (RF) tomography refers to the process of inferring information about an environment by capturing and analyzing RF signals transmitted between nodes in a wireless se...
Mohammad A. Kanso, Michael G. Rabbat
ANNPR
2008
Springer
13 years 10 months ago
Supervised Incremental Learning with the Fuzzy ARTMAP Neural Network
Abstract. Automatic pattern classifiers that allow for on-line incremental learning can adapt internal class models efficiently in response to new information without retraining fr...
Jean-François Connolly, Eric Granger, Rober...
JCP
2006
110views more  JCP 2006»
13 years 8 months ago
Gateway Selection Review in Ad hoc Networks
The nature of wireless mobile ad hoc networks depend on batteries or other fatiguing means for their energy. A limited energy capacity may be the most significant performance const...
Tarek Sheltami
JETAI
1998
110views more  JETAI 1998»
13 years 8 months ago
Independency relationships and learning algorithms for singly connected networks
Graphical structures such as Bayesian networks or Markov networks are very useful tools for representing irrelevance or independency relationships, and they may be used to e cientl...
Luis M. de Campos
SEKE
2010
Springer
13 years 6 months ago
A Multi-State Bayesian Network for Shill Verification in Online Auctions
Online auction systems have made remarkable progress in recent years. However, one of the most severe and persistent problems in such systems is shilling behavior, which is a type ...
Ankit Goel, Haiping Xu, Sol M. Shatz