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CORR
2011
Springer
200views Education» more  CORR 2011»
13 years 5 months ago
Using Feature Weights to Improve Performance of Neural Networks
Different features have different relevance to a particular learning problem. Some features are less relevant; while some very important. Instead of selecting the most relevant fe...
Ridwan Al Iqbal
CEC
2005
IEEE
14 years 3 months ago
Effects of experience bias when seeding with prior results
Abstract- Seeding the population of an evolutionary algorithm with solutions from previous runs has proved to be useful when learning control strategies for agents operating in a c...
Mitchell A. Potter, R. Paul Wiegand, H. Joseph Blu...
ATAL
2010
Springer
13 years 11 months ago
Using graph analysis to study networks of adaptive agent
Experimental analysis of networks of cooperative learning agents (to verify certain properties such as the system's stability) has been commonly used due to the complexity of...
Sherief Abdallah
ESANN
2008
13 years 11 months ago
Similarities and differences between policy gradient methods and evolution strategies
Natural policy gradient methods and the covariance matrix adaptation evolution strategy, two variable metric methods proposed for solving reinforcement learning tasks, are contrast...
Verena Heidrich-Meisner, Christian Igel
ECTEL
2007
Springer
14 years 4 months ago
Integration in Generic Tool Learning Design to Support Complex Learning Methodologies
: Current learning modelling languages do not allow formalization of scripts where generic tools are required. This limitation is especially relevant on remote courses when using c...
Luis de la Fuente Valentín