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» Evaluating Adaptive Problem Selection
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136
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IJCNN
2006
IEEE
15 years 9 months ago
Adaptation of Artificial Neural Networks Avoiding Catastrophic Forgetting
— In connectionist learning, one relevant problem is “catastrophic forgetting” that may occur when a network, trained with a large set of patterns, has to learn new input pat...
Dario Albesano, Roberto Gemello, Pietro Laface, Fr...
159
Voted
IJON
2006
103views more  IJON 2006»
15 years 3 months ago
Evolutionary system for automatically constructing and adapting radial basis function networks
This article presents a new system for automatically constructing and training radial basis function networks based on original evolutionary computing methods. This system, called...
Daniel Manrique, Juan Rios, Alfonso Rodrígu...
134
Voted
LWA
2008
15 years 5 months ago
Towards the Adaptation of Scientific Course Material powered by Communities of Practice
Several applications support the adaptation of course material. Even though most of these systems allow to specify interaction preferences or even employ user modeling techniques,...
Christine Müller
137
Voted
IOR
2011
107views more  IOR 2011»
14 years 10 months ago
Information Collection on a Graph
We derive a knowledge gradient policy for an optimal learning problem on a graph, in which we use sequential measurements to refine Bayesian estimates of individual edge values i...
Ilya O. Ryzhov, Warren B. Powell
150
Voted
TJS
2010
117views more  TJS 2010»
14 years 10 months ago
Adaptive service scheduling for workflow applications in Service-Oriented Grid
When the workflow application is executed in Service-Oriented Grid (SOG), performance issues such as service scheduling should be considered, to achieve high and stable performance...
Sung-Ho Chin, Taeweon Suh, Heon-Chang Yu