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» A learning model for oscillatory networks
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IJON
2008
156views more  IJON 2008»
15 years 6 months ago
Analysis of the dynamical behavior of a feedback auto-associative memory
The dynamical behavior and the stability properties of fixed points in a feedback auto-associative memory are investigated. The proposed structure encompasses a multi-layer percep...
Mahmood Amiri, Sohrab Saeb, Mohammad Javad Yazdanp...
GECCO
2008
Springer
137views Optimization» more  GECCO 2008»
15 years 7 months ago
Informative sampling for large unbalanced data sets
Selective sampling is a form of active learning which can reduce the cost of training by only drawing informative data points into the training set. This selected training set is ...
Zhenyu Lu, Anand I. Rughani, Bruce I. Tranmer, Jos...
ANCS
2007
ACM
15 years 10 months ago
Ruler: high-speed packet matching and rewriting on NPUs
Programming specialized network processors (NPU) is inherently difficult. Unlike mainstream processors where architectural features such as out-of-order execution and caches hide ...
Tomas Hruby, Kees van Reeuwijk, Herbert Bos
ECAL
2007
Springer
16 years 9 days ago
Neuroevolution of Agents Capable of Reactive and Deliberative Behaviours in Novel and Dynamic Environments
Both reactive and deliberative qualities are essential for a good action selection mechanism. We present a model that embodies a hybrid of two very different neural network archit...
Edward Robinson, Timothy Ellis, Alastair Channon
CUZA
2002
129views more  CUZA 2002»
15 years 6 months ago
Ad Hoc Metacomputing with Compeer
Metacomputing allows the exploitation of geographically seperate, heterogenous networks and resources. Most metacomputers are feature rich and carry a long, complicated installati...
Keith Power, John P. Morrison