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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»
15 years 21 days 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
94
Voted
MOBISYS
2010
ACM
15 years 3 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...
121
Voted
CORR
2010
Springer
152views Education» more  CORR 2010»
14 years 8 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
15 years 6 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
116
Voted
ANNPR
2008
Springer
15 years 3 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...