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» A self-organising network that grows when required
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NN
2002
Springer
115views Neural Networks» more  NN 2002»
13 years 4 months ago
A self-organising network that grows when required
The ability to grow extra nodes is a potentially useful facility for a self-organising neural network. A network that can add nodes into its map space can approximate the input sp...
Stephen Marsland, Jonathan Shapiro, Ulrich Nehmzow
MOBISYS
2010
ACM
13 years 7 months ago
Growing an organic indoor location system
Most current methods for 802.11-based indoor localization depend on surveys conducted by experts or skilled technicians. Some recent systems have incorporated surveying by users. ...
Jun-geun Park, Ben Charrow, Dorothy Curtis, Jonath...
CORR
2010
Springer
152views Education» more  CORR 2010»
12 years 11 months ago
Combinatorial Network Optimization with Unknown Variables: Multi-Armed Bandits with Linear Rewards
In the classic multi-armed bandits problem, the goal is to have a policy for dynamically operating arms that each yield stochastic rewards with unknown means. The key metric of int...
Yi Gai, Bhaskar Krishnamachari, Rahul Jain
ADHOCNOW
2003
Springer
13 years 10 months ago
Cartesian Ad Hoc Routing Protocols
The growing popularity of ad hoc networks is making their limitations, such as bandwidth and power restrictions, more apparent. As a result, techniques that reduce power consumpti...
Larry Hughes, Kafil Shumon, Ying Zhang
ANNPR
2008
Springer
13 years 6 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...